Literature DB >> 33031464

Insights from a global snapshot of the change in elective colorectal practice due to the COVID-19 pandemic.

Sam E Mason1, Alasdair J Scott1, Sheraz R Markar1, Jonathan M Clarke2, Guy Martin1, Jasmine Winter Beatty1, Viknesh Sounderajah1, Seema Yalamanchili1, Max Denning1, Thanjakumar Arulampalam3, James M Kinross1.   

Abstract

BACKGROUND: There is a need to understand the impact of COVID-19 on colorectal cancer care globally and determine drivers of variation.
OBJECTIVE: To evaluate COVID-19 impact on colorectal cancer services globally and identify predictors for behaviour change.
DESIGN: An online survey of colorectal cancer service change globally in May and June 2020. PARTICIPANTS: Attending or consultant surgeons involved in the care of patients with colorectal cancer. MAIN OUTCOME MEASURES: Changes in the delivery of diagnostics (diagnostic endoscopy), imaging for staging, therapeutics and surgical technique in the management of colorectal cancer. Predictors of change included increased hospital bed stress, critical care bed stress, mortality and world region.
RESULTS: 191 responses were included from surgeons in 159 centers across 46 countries, demonstrating widespread service reduction with global variation. Diagnostic endoscopy was reduced in 93% of responses, even with low hospital stress and mortality; whilst rising critical care bed stress triggered complete cessation (p = 0.02). Availability of CT and MRI fell by 40-41%, with MRI significantly reduced with high hospital stress. Neoadjuvant therapy use in rectal cancer changed in 48% of responses, where centers which had ceased surgery increased its use (62 vs 30%, p = 0.04) as did those with extended delays to surgery (p<0.001). High hospital and critical care bed stresses were associated with surgeons forming more stomas (p<0.04), using more experienced operators (p<0.003) and decreased laparoscopy use (critical care bed stress only, p<0.001). Patients were also more actively prioritized for resection, with increased importance of co-morbidities and ICU need.
CONCLUSIONS: The COVID-19 pandemic was associated with severe restrictions in the availability of colorectal cancer services on a global scale, with significant variation in behaviours which cannot be fully accounted for by hospital burden or mortality.

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Year:  2020        PMID: 33031464      PMCID: PMC7544024          DOI: 10.1371/journal.pone.0240397

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The COVID-19 pandemic has had a direct impact on global health, requiring the re-allocation and rationing of scarce resources at an unprecedented scale [1]. However, this drastic re-purposing is likely to have substantial indirect effects on the delivery of non-COVID-19 care. This is of critical importance for cancer patients, where delays to diagnosis and treatment have long term repercussions at both an individual patient and national level [2, 3]. This has been recently modelled, predicting excess deaths over the pandemic’s first year of over 6000 in England and over 33,000 in the USA [4]. In the UK, it has been reported that cancer screening has been cancelled, urgent cancer referrals from the community have fallen by an average of 76% and that face-to-face outpatient appointments have been largely abandoned [4, 5]; with similar changes expected worldwide. Colorectal cancer is the third commonest cause of cancer related death globally [6], with its complex diagnostic pathways and multimodal treatment vulnerable to disruption by COVID-19 at every stage of the patient pathway. The availability of diagnostic colonoscopy and CT colonography have been severely curtailed, based on multiple international recommendations [7-9]. Similarly, resectional surgery has been cancelled in many centers due to the requirement for space (hospital beds), equipment (ventilators) as well as the redeployment of staff [2]. The speed at which the pandemic evolved was not anticipated in several countries and left little time for the generation of national or international guidance. A clearer understanding of precisely how colorectal practice has changed during the pandemic is now urgently needed, to elucidate the driving factors of change and to effectively plan for the recovery. Furthermore, many countries are anticipating a second wave of infections and services must be able to flexibly scale to maintain cancer services. We hypothesized significant variation in the organisational responses of colorectal centers globally during the COVID-19 pandemic. In this snapshot survey of colorectal practice, we collected survey data to determine the local impact on colorectal cancer diagnostic and therapeutic domains.

Materials and methods

This study was a global cross-sectional survey of the change in elective colorectal practice caused by the COVID-19 pandemic.

Survey design and data collection

A survey was designed through consultation of a core committee of surgeons experienced in qualitative research methodology. Questions were a combination of multiple choice and forced-ranking scales (S1 File). The questions were designed to cover demographic information of each respondent and center, with exploration of how diagnostic and therapeutic resources, treatment strategies and personnel allocation had been affected by the pandemic. This survey was administered using Google Forms (Google LLC, USA) and invites were distributed to international colleagues, through governing bodies such as the Royal College of Surgeons of England and through the PanSurg social medial channels; from 2nd April 2020. Consultant or attending surgeons performing elective resections for colorectal cancer were eligible for inclusion. National mortality was defined as the mortality from COVID-19 for each country on the day the survey was received [10], reported as deaths/million.

Definitions of metrics used

COVID-19 Load was defined as the number of COVID-19 patients currently admitted to the respondent’s center and was categorised as low (0–20), medium (21–100) and high (>100 patients). Total hospital bed capacity was stratified as low (0–500), medium (501–1000) and high (>1000 beds); with critical care capacity also described as low (0–20), medium (21–100) and high (>100 beds). By comparing the COVID-19 Load to the hospital and critical care bed capacity in of each respondents’ center, we derived the metrics Hospital Bed Stress and Critical Care Bed Stress. Stress was low when the strata of capacity exceeded the COVID-19 Load, medium when the strata of COVID-19 Load equaled that of bed capacity and high when the strata of COVID-19 Load exceeded that of capacity. For large hospitals where the COVID burden was also high, stress was determined to be high if the total patient burden was greater than 200. Surgeons were asked to rank six factors for importance when prioritizing a patient for colorectal resection. A pairwise comparison was made of the ordinal perceived importance between each factor within a response and then aggregated across the dataset. The Priority Score was defined for each factor as the sum of the scores against the other 5 factors, where a higher score reflects the surgeon valuing it with greater general importance and the converse true of negative scores. The absolute value relates to the strength of preference. To interpret deviation from usual practice across 11 domains (endoscopy, computed tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), therapeutic endoscopy, rectal neoadjuvant therapy, colon neoadjuvant therapy, delays to surgery, operators, laparoscopy, stoma formation) we defined a Change Score. For each domain 1 point was given if a respondent’s center had limited availability and 2 were given if it was unavailable.

Statistical analysis

Data were processed and analysed in R Studio v1.1.453 using the ‘tidyverse’ package [11, 12]. Categorical variables were analysed using Chi-squared or Fisher’s Exact test based on expected cell values. Continuous data were analysed using ANOVA or Mann Whitney U test for parametric and non-parametric data respectively. Statistical significance was defined using α = 0.05.

Results

198 survey responses were received until 17th May 2020, with 7 excluded from analysis due to insufficient data (n = 6) or respondent not being a consultant or attending surgeon (n = 1). This left 191 replies for inclusion, from 159 distinct centers across 46 countries. The demographics and characteristics of the included surgeons and centers are presented in Table 1.
Table 1

Characteristics of the surgeons and centers responding to the survey.

Characteristicn (%)
GenderMale164 (86)
Female27 (14)
SpecialtyColorectal159 (83)
General32 (17)
Hospital SettingTertiary/Academic151 (79)
Local/District40 (21)
World RegionEurope105 (55)
Australasia40 (21)
Asia22 (12)
The Americas20 (10)
Africa3 (2)
Middle East1 (1)
COVID-19 Patient Load029 (15)
1–944 (23)
10–2018 (9)
21–5027 (14)
51–10031 (16)
101–20023 (12)
>20019 (10)
Hospital Bed Capacity<20014
201–50070
501–100073
>100034
Critical Care Bed Capacity<2189
21–5064
51–10027
>10011

COVID-19 burden and stress on hospital resources

162 of the respondents (85%) described the presence of patients suffering with COVID-19 in their center, with a relative balance across low, medium and high burdens. The matrices comparing COVID Load with hospital and critical care bed capacities are demonstrated in Fig 1, defining the metrics Hospital Bed Stress and Critical Care Bed Stress. These metrics were validated by comparing the strata to national mortality, demonstrating significant association (p = <0.001, Fig 2). Global variation in COVID Load, Hospital Bed Stress and Critical Care Bed Stress is presented in Table 2.
Fig 1

Low, moderate and high Hospital Bed Stress (A) and Critical Care Bed Stress (B), derived from the COVID-19 Load compared to the hospital and critical care bed capacities respectively. Centers with low hospital or critical care bed capacity and no COVID patients were determined to have a low stress, whereas similarly sized centers caring for <20 patients deemed at moderate stress. Centers with high hospital or critical care bed capacity and greater than 200 COVID patients were determined to have a high stress, whereas similarly sized centers caring for <200 patients deemed at moderate stress.

Fig 2

Box and whiskers plot of the relationship between national mortality rate from COVID-19 and either Hospital Bed Stress (A) or Critical Care Bed Stress (B). Black circles represent outliers and ‘x’ is a jitter plot of the raw data. p = <0.001 for all comparisons between groups.

Table 2

The global variation of COVID Load, Hospital Bed Stress and Critical Care Bed Stress.

COVID Load (%)Hospital Bed Stress (%)Critical Care Bed Stress (%)
World RegionnLowMediumHighLowModerateHighLowModerateHigh
Europe105243937173350112267
Australasia40955-603837525-
Asia228695865973189
The Americas20306010304040355015
Other47525-2550255050-

Note: Some percentage sums may not equal 100 due to rounding.

Low, moderate and high Hospital Bed Stress (A) and Critical Care Bed Stress (B), derived from the COVID-19 Load compared to the hospital and critical care bed capacities respectively. Centers with low hospital or critical care bed capacity and no COVID patients were determined to have a low stress, whereas similarly sized centers caring for <20 patients deemed at moderate stress. Centers with high hospital or critical care bed capacity and greater than 200 COVID patients were determined to have a high stress, whereas similarly sized centers caring for <200 patients deemed at moderate stress. Box and whiskers plot of the relationship between national mortality rate from COVID-19 and either Hospital Bed Stress (A) or Critical Care Bed Stress (B). Black circles represent outliers and ‘x’ is a jitter plot of the raw data. p = <0.001 for all comparisons between groups. Note: Some percentage sums may not equal 100 due to rounding.

Impact of system stress on diagnosis and therapeutics

COVID-19 has had a dramatic impact on the capability of centers to provide diagnostic and therapeutic services for colorectal cancer (Table 3), with significant variation in the extent of change across available modalities and how this correlates to the stress of the healthcare center.
Table 3

Change in diagnostic and therapeutic capabilities stratified by Hospital Bed Stress and Critical Care Bed Stress.

Hospital Bed StressCritical Care Bed Stress
AvailabilityLowModerateHighp valueLowModerateHighp value
Diagnostic EndoscopyNormal6430.244630.02
Limited554344563650
Unavailable714157722
CTNormal4635330.2224531380.11
Limited222629221837
MRINormal4439290.03 a4530370.049 a
Limited212033191837
Unavailable32-311
PETNormal3940190.0014128290.04
Limited201635171737
Unavailable958949
Therapeutic EndoscopybNormal171590.10198140.34
Limited333630322839
Unavailable1081810818
Rectal Neoadjuvant RxNormal4031280.194126320.12
Increased171826141631
Decreased1113712712
Colon Neoadjuvant RxNormal5049490.795338570.65
Increased1176888
Decreased7576310
Delay After Neoadjuvant Rx (weeks)No delay2527140.012917203
<212668106
2–41681015514
4–8107176919
>8513159816
OperatorDual consultants1325200.0061117300.005
Consultant, trainee assisted443128452632
Trainee under supervision935944
NA—no resections229229
Use of LaparoscopyNormal4131260.14c412928< 0.001c
Decreased13182421330
Ceased14131013717
Increased-1-1--
Use of StomasNormal3528180.03d3526200.002d
Decreased311311
Increased293240282251

CT–Computed Tomography; MRI–Magnetic Resonance Imaging; PET–Positron Emission Tomography; Rx–treatment.

a’Limited’ vs ‘Normal’;

bonly included when therapeutic endoscopy available prior to COVID-19

c’Normal’ vs ‘Decreased’ vs ‘Ceased’;

d’Normal’ vs ‘Increased’.

CT–Computed Tomography; MRI–Magnetic Resonance Imaging; PET–Positron Emission Tomography; Rx–treatment. a’Limited’ vs ‘Normal’; bonly included when therapeutic endoscopy available prior to COVID-19 c’Normal’ vs ‘Decreased’ vs ‘Ceased’; d’Normal’ vs ‘Increased’. This is most notable when examining the availability of diagnostic endoscopy, which is operating at normal levels in only 7% of responses. Having no diagnostic endoscopy rather than a limited one was associated with high Critical Care Bed Stress (p = 0.02) and national mortality (p < 0.001), however, not with Hospital Bed Stress (p = 0.24). There are slight differences for therapeutic endoscopy. Of the 176 respondents that used it prior to the pandemic, there was greater success in maintaining a normal service (23%), however, there is again evidence that many centers were limiting it despite low stress. The hospital and critical care bed stress metrics appear unable to account for why some units were ceasing this service entirely. CT, MRI and PET showed a 40–49% reduction, with the impact on both MRI and PET scanning appearing to be correlated with Critical Care Bed Stress and Hospital Bed Stress. The COVID-19 pandemic has prompted significant changes in the use of neoadjuvant oncologic treatments, with 48% of centers applying these differently for rectal and 23% for colon cancer. If practice has changed, it is more likely to be an increase in use for rectal cancer with no clear preference in colon cancer. Which change is made does not correlate with the country or hospital stress. There appears to be specific associations with an increased use of neoadjuvant therapies rather than a decrease or no change. Centers that have stopped resectional surgery entirely are significantly more likely to increase use of neoadjuvant therapy in rectal cancer (62 vs 30%, p = 0.04) but not colon cancer (31 vs 11%, p = 0.11). In centers where resectional surgery is continuing, greater use of neoadjuvant therapies is associated with expecting an extended delay to surgery for rectal cancers (p = 0.001). The impact of COVID-19 on the operative approach, strategy and personnel for elective colorectal cancer is marked. 7% of centers have ceased elective resections entirely. Of those continuing to operate, there is an increased use of attending surgeons as the principle and assisting surgeon, strongly associated with high Hospital Bed Stress and Critical Care Bed Stress. There is no standardised approach for preoperative patient screening with centers using PCR (33%), imaging (most commonly CT chest, 15%), both PCR and imaging (17%), risk survey (4%), clinical assessment (3%), both clinical and risk survey (2%) and a combination of serology, imaging and PCR (2%). No screening is performed in 24% of responses and there is no clear association with geographical region. There has been a dramatic reduction in the use of laparoscopy (48%), with reducing or ceasing laparoscopy strongly associated with Critical Care Bed Stress (p = <0.001), but not to country, national mortality (p = 0.09) or Hospital Bed Stress (p = 0.14). Of those using laparoscopy, 77% are deploying smoke extraction devices. 54% of centers have increased their stoma formation rate, largely within the context of left-sided resections (more likely to perform a Hartmann’s procedure or to defunction a primary anastomosis). Increased stoma formation was significantly associated with increased national mortality (p = 0.02) and both metrics of hospital stress (p = <0.04).

Change Score

The Change Score across 11 domains (endoscopy, CT, MRI, PET, therapeutic endoscopy, rectal neoadjuvant therapy, colon neoadjuvant therapy, delays to surgery, operators, laparoscopy, stoma formation) demonstrates that on average, 7 aspects of patient care have changed, with degree of change significantly increasing as Hospital Bed Stress and Critical Care Bed Stress increase (p = 0.007 and <0.001 respectively, Fig 3).
Fig 3

Violin plots of Change Score against Hospital Bed Stress and Critical Care Bed Stress metrics.

The summary boxes denote the mean +/- standard deviation for each group. The groups are statistically significantly different (p = 0.007 and <0.001 respectively).

Violin plots of Change Score against Hospital Bed Stress and Critical Care Bed Stress metrics.

The summary boxes denote the mean +/- standard deviation for each group. The groups are statistically significantly different (p = 0.007 and <0.001 respectively).

Prioritisation of patients when scheduling for theatre

Of the 93% of responses where elective operating had not ceased, 64% were implementing new strategies when prioritizing patients for resection, with guidance generated at a local (62%) or national level (38%). The Priority Score for the six ranked variables could be calculated across the Hospital Bed Stress and Critical Care Bed Stress strata (Table 4). When plotted, the relative linearity of the line denoting all responses demonstrates clear transitive ranks of the variables based on priority (Fig 4); with the ranks in descending order of importance:
Table 4

Priority Scores for the six variables considered when scheduling patients for theatre, presented for all responses and by Hospital Bed Stress and Critical Bed Stress strata.

Hospital Bed StressCritical Care Bed Stress
VariableAllHighModerateLowHighModerateLow
Co-morbidity337397426191438238285
Disease Stage272206348222155378282
Need for ICU Bed98166-31041507831
Extended Delay After Neoadjuvant Therapy-108-185-15011-188-47-51
Age-183-151-178-177-102-265-174
Expected Case Difficulty-416-434-442-351-453-382-373

A higher score represents a greater importance of the variable, with the score scaled by total responses within each stress strata.

Fig 4

Line plot of the Priority Scores for each variable when scheduling a patient for theatre, with the impact of high, moderate and low Hospital Bed Stress (A) and Critical Care Bed Stress (B) compared. Note: Higher score demonstrates a higher priority.

Co-morbidities Disease stage Need for ICU bed postoperatively Extended delay following neoadjuvant therapy Age Expected difficulty of case Line plot of the Priority Scores for each variable when scheduling a patient for theatre, with the impact of high, moderate and low Hospital Bed Stress (A) and Critical Care Bed Stress (B) compared. Note: Higher score demonstrates a higher priority. A higher score represents a greater importance of the variable, with the score scaled by total responses within each stress strata. Surgeons were prioritizing patients for surgery differently based on the Hospital Bed Stress. As it increases, co-morbidities became relatively more important, with extended delay following neoadjuvant therapy and expected case difficulty becoming less important (Fig 4A). This was such that for High Hospital Bed Stress and Critical Care Bed Stress, age surpassed extended delay in priority; findings unique to this stratum. The findings for Critical Care Bed Stress were generally similar to Hospital Bed Stress, however, as burden increases there is slightly greater relative importance placed on the need for an ICU bed postoperatively (Fig 4B). The difference between the highest and lowest priority scores increases with stress, demonstrating that when under pressure, surgeons place a higher importance on these variables.

Discussion

This is a cross-sectional survey of the global change in elective colorectal cancer practice as a consequence of the COVID-19 pandemic, evaluating 191 responses from 46 countries. The primary finding was that whilst practice change has been widespread, there is considerable variation in the response between centers. This can sometimes be understood within the context of system burden (Hospital Bed Stress, Critical Care Bed Stress), national burden (mortality); however, in many cases triggers for change cannot be directly identified. The vast majority of centers globally have had to limit the care they provide across diagnostic endoscopy, imaging for staging, neoadjuvant treatments and definitive surgery. The Critical Care Bed Stress metric appears to be one of the best predictors of change, likely due to these facilities experiencing the greatest demand during the pandemic. This would prompt the reallocation of resources from other services in the hospital—endoscopy units, theatres, and recovery areas are all likely to be designated as contingency zones for additional capacity; with doctors and nurses of other specialties redeployed here. However, there were many examples of centers limiting their cancer care despite having low stress and mortality. Diagnostic endoscopy is an excellent example of this. It appears that the initial response to COVID-19 was to limit services even when hospital pressure is low, with rising Critical Care Bed Stress or national mortality the triggers to cease services entirely. Concern over diagnostic endoscopy being an aerosol generating procedure was unlikely to be solely responsible for low-stress centers limiting their service, as these centers were no more likely to reduce laparoscopy use or to deploy filtered smoke extractors. Conversely, there were centers experiencing high stresses who were able to provide care without excessive limitation. Understanding and predicting this variance is challenging and given that it does not seem correlated to the country (and therefore the guidance from relevant governing bodies), it is possible that there are local coping mechanisms employed at certain centers which will need to be identified in future research. Guidance issued from regulatory bodies frequently lacked the clarity demanded by clinicians, could become outdated in weeks and often conflicted with the guidance of other bodies. Considering the disparity in COVID-19 impact worldwide, future guidelines will require marked flexibility to allow effective application in individual centers. Behaviour changes in surgical strategy and technique demonstrate high correlation with increased Hospital Bed Stress and Critical Care Bed Stress, with changes designed to reduce risk to both patients and operating room staff. Whilst there has been no clear evidence that laparoscopy causes aerosolisation of the SARS-CoV-2 virus, this is the case with other viruses and SARS-CoV-2 has been found in peritoneal fluid [13, 14]. This concern has caused conflicting advice from regulatory bodies, with an intercollegiate paper including the Royal College of Surgeons recommending a general stop to laparoscopy with other bodies recommending laparoscopy continuing with additional safeguards such as smoke filtration [15-17]. Surgeons have taken the cautious approach by limiting or ceasing laparoscopy by almost half, particularly with higher mortality; but there is still inadequate appetite for risk mitigation given only 77% use smoke filtration. Preoperative COVID-19 screening is universally recommended but still not standard of care in many centers [18-21]. The use of stomas was not driven by international guidance and appears subject to individual surgeon preference. Defunctioning left-sided anastomoses and/or having a greater propensity to perform a Hartmann’s procedure is likely to decrease the initial use of hospital resources and protect patient safety in the short-term (by avoiding the risk and severity of anastomotic leakage). As services are restarted, stoma reversal may struggle to compete for theatre space increasing the risk of stoma formation being permanent. The variation in the application of neoadjuvant therapies for colorectal cancers is marked. The fact that whether it an increase or decrease was made did not correlate with the country, mortality or hospital stress implies it is driven by local practice from clinicians present at the multidisciplinary meetings. The concern with such a cause of variation is that it is less likely to be evidence-based and the lack of consensus suggests wider guidance is not being applied. The greater propensity to change in rectal rather than colon cancer may be that the evidence base is stronger in this cohort and centers have more experience in its use. There was a strong indication that in centers with extended delays to surgery or without resection happening, neoadjuvant therapies were increasingly used. This provides oncologic therapy to slow progression or cause down-staging [22]. The use of chemoradiation in rectal cancer can cause complete clinical response in 7–27% of cases [23], with neoadjuvant chemotherapy in colon cancer appearing to improve oncological outcomes [24]. The concern is that the patients upon which these studies focus had advanced cancers and it is unclear if the same benefits apply to earlier stages. Furthermore, unlike more aggressive cancers such as of the esophagus and pancreas; the relationship between treatment delay and disease progression is much less clear in colorectal, with studies offering different perspectives between harmful delays in addition to the difference between colon and rectal cancers [25-27]. The optimal time between neoadjuvant therapy and operative intervention is also unclear, with some evidence that delay beyond 6–8 weeks could be beneficial, however, the point at which extended delay becomes harmful has not been defined [28]. Whilst hospital visits for chemoradiation and the resultant immunosuppression increase a patient’s risk from COVID-19, the balance between oncologic benefit and COVID-19 risk is not clear and evidence is currently lacking. Centers should be flexible and dynamic as new guidance and evidence becomes available [29]. Data on long-term oncological outcomes following COVID-19 is eagerly awaited and will be necessary to guide strategies if this pandemic is prolonged or when a similar threat arises in the future. As the burden from COVID-19 increases, surgeons change their approach to prioritising patients for theatre, likely as a necessity to identify which patients would benefit most when access is limited. Co-morbidities appear to be of the highest importance. High Critical Care Bed Stress was associated with increased importance of needing an ICU bed postoperatively with age increasingly considered given the disproportionate mortality as age increases. Risk prediction tools such as the American College of Surgeons calculator would better support decision-making if the impact of COVID-19 was incorporated [30]. Although the key findings of this study are variance in behaviours and practice due to the COVID-19 pandemic, it may be that these could be better predicted by factors not collected by the survey, for example, patient choice regarding treatment strategies. There is a risk of selection biases caused by the survey being in English and that the distribution was likely to favour Europe and high-income countries. It was not possible to make extensive comparisons by country or region given that COVID-19 has disproportionally impacted different world areas and therefore variation is not sufficient for meaningful comparisons on the smaller scale. Whilst this may not reveal nuanced behaviours within world regions, by taking a global perspective, this work has been successful in making predictions of variation whilst considering confounding factors such as national mortality. The self-reporting of outcomes risks response bias, where response inaccuracies may be caused by individual personality, psychology or data availability. The findings here do compare current practice to baseline however the degree of change is cross-sectional and therefore trends over time cannot be explored. To address this, the survey will continue to collect responses at: http://tiny.cc/4tkbpz. This work has implications for research and clinical practice, both within colorectal surgery and for wider service management during emergency scenarios. In future versions of the survey, questions will need to assess the evolving use of healthcare networks, either between public-public or public-private partnerships; where centers have been increasingly cooperating to support each other and provide contingency capacity. If there is a second pandemic wave, this project has highlighted that it is possible to protect many vital elective colorectal services even when the COVID burden is high, which will be crucial to reducing non-COVID deaths. The change in oncologic practice which was identified, particularly the different use of neoadjuvant therapies, provides a unique opportunity to study cancer outcomes with these different treatment strategies. Studies will be required to determine if these new approaches may have improved patient outcome (whether oncologic or quality of life), informing whether prospective interventional trials should be conducted.

Conclusion

This study gives new insight into elective colorectal cancer practice on a global scale, with wide geographical coverage and a range of COVID-19 burdens. Whilst there is evidence of widespread limitation of services, there is significant variation in behaviours which hospital burden and national mortality cannot fully account for. The colorectal cancer clinical community requires best practice to be defined based on consensus and emerging evidence, with improved information transfer and learning between centers; especially from those better coping with this pandemic. (PDF) Click here for additional data file. 18 Aug 2020 PONE-D-20-17999 Insights from a global snapshot of the change in elective colorectal practice due to the COVID-19 pandemic PLOS ONE Dear Dr. Mason, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. 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You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This is a well-written paper that uses survey data from colorectal surgeons around the globe to highlight the important impact that COVID-19 has had on care of colorectal cancer patients. While many of the conclusions are expected, they do well to summarize important alterations in practice using their survey data Intro, pg 2 line 96: Would remove “prospectively” and just say “collected survey data”. Prospectively implies that one would follow a cohort or outcome measure over time after the initial survey Methods: Were surgeons specifically sent invitations or were surgeons directed to a study info page/registration page on the society websites/social media pages, or were invites sent to all members of the societies? If exact number of invites is known, it should be presented. In regard to the critical care bed stress and hospital bed stress, you define high load as a strata of COVID-19 exceeding capacity, however one could argue that a hospital with high hospital bed and critical bed size with high covid-10 load is under significant stress – however by your definition, it would be considered medium stress. It is impossible for hospitals with high bed/ICU capacity to be in the high bed stress loads based on this definition, correct? Perhaps representing bed stress on % of beds filled with COVID-19 patients? Table 1 should also include breakdown of hospitals by number of hospital beds and ICU beds. Results: There are 191 respondents from 159 centers. This implies that some centers have more than one surgeon replying. Are these double counted in the results? Otherwise the results are well presented Reviewer #2: This is an interesting article that aims to explore the impact of the COVID 19 pandemic on the diagnosis and treatment of colorectal cancer. The authors conducted a global survey to assess the response of colorectal and general surgeons around the world. Major concern: There is significant bias since the study has included a large number of countries with striking differences in healthcare systems, systematic response to the pandemic, a wide variation in COVID incidence/mortality, etc. With this degree of bias it is really difficult to make comparisons and come up with sound conclusions. There are some interesting questions asked in the survey, but we do not get the full picture based on the answers provided. For instance, does the dramatic decrease in use of laparoscopy mean that there was an equivalent increase in open surgery or that the operations were postponed to a later date? Would like to see additional tables from some of the analyses that the authors describe in the last 2 paragraphs of the results. What are the future steps that the authors suggest based on the results of the study? ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 3 Sep 2020 Reviewer 1: 1. Would remove “prospectively” and just say “collected survey data”. Prospectively implies that one would follow a cohort or outcome measure over time after the initial survey. This change has been made. 2. Were surgeons specifically sent invitations or were surgeons directed to a study info page/registration page on the society websites/social media pages, or were invites sent to all members of the societies? If exact number of invites is known, it should be presented. In some cases invitations were sent directly to individuals however the survey link was also published on our website and through Twitter. As a result, it is not possible to give a reliable estimate of the total number of surgeons who received an invitation. 3. In regard to the critical care bed stress and hospital bed stress, you define high load as a strata of COVID-19 exceeding capacity, however one could argue that a hospital with high hospital bed and critical bed size with high covid-10 load is under significant stress – however by your definition, it would be considered medium stress. It is impossible for hospitals with high bed/ICU capacity to be in the high bed stress loads based on this definition, correct? Perhaps representing bed stress on % of beds filled with COVID-19 patients? Thank you for highlighting this excellent point. It is correct that there were a small number of large hospitals (>1000 beds) who had high COVID burdens and were described as having a medium overall stress. This group has been split into 2, based on whether <200 (medium stress) or >200 (high stress) total COVID patients were being treated. The plots, tables and text have been updated to reflect this; with no dramatic changes to the results. Unfortunately, % beds filled cannot be used as a metric as data was collected as ranges in categories (eg. 20-50 patients, 50-100 patients etc). 4. Table 1 should also include breakdown of hospitals by number of hospital beds and ICU beds. Table 1 has been updated with this data. 5. There are 191 respondents from 159 centers. This implies that some centers have more than one surgeon replying. Are these double counted in the results? Unfortunately, we were unable to determine the centre for some of the responses but were able to identify 159 unique ones. There were approximately 10 duplicates (10 centres with 2 replies each), but we found that responses were spread throughout the collection period and therefore, it was deemed valuable data as it gives information at different time points. Reviewer 2: 1. There is significant bias since the study has included a large number of countries with striking differences in healthcare systems, systematic response to the pandemic, a wide variation in COVID incidence/mortality, etc. With this degree of bias it is really difficult to make comparisons and come up with sound conclusions. We believe that the variation described here is the strength of the work and it was necessary to sample such variation in order to address the research questions of the project. Eg. When determining causes for centres to limit services, it is vital to make comparisons between regions with high and low COVID burden, different sizes hospitals, different national mortalities etc. 2. There are some interesting questions asked in the survey, but we do not get the full picture based on the answers provided. For instance, does the dramatic decrease in use of laparoscopy mean that there was an equivalent increase in open surgery or that the operations were postponed to a later date? The survey only collected data on whether the centre was still operating electively and if so, whether laparoscopy was used differently. We appreciate that another interesting question is whether the overall volume has changed, however that was not one of the data points collected. 3. Would like to see additional tables from some of the analyses that the authors describe in the last 2 paragraphs of the results. A table of the raw data across all groups has been inserted (table 4). 4. What are the future steps that the authors suggest based on the results of the study? A paragraph has been added to the discussion section, documenting the implications of the study for future research and pandemic management in the case of a second wave. 28 Sep 2020 Insights from a global snapshot of the change in elective colorectal practice due to the COVID-19 pandemic PONE-D-20-17999R1 Dear Dr. Mason, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Zhi Ven Fong, M.D., M.P.H. Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors have satisfactorily responded to this reviewers comments. I agree with reviewer 2 that a paragraph with implications for care and research moving forward is a necessary addition. Reviewer #2: The authors have addressed all my comments. I commend them for their efforts. I would like to see another survey in the future with additional questions that will help us improve patient care during a potential second wave of the pandemic. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No 1 Oct 2020 PONE-D-20-17999R1 Insights from a global snapshot of the change in elective colorectal practice due to the COVID-19 pandemic Dear Dr. Mason: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Zhi Ven Fong Academic Editor PLOS ONE
  10 in total

1.  Detecting hepatitis B virus in surgical smoke emitted during laparoscopic surgery.

Authors:  Han Deok Kwak; Seon-Hahn Kim; Yeon Seok Seo; Ki-Joon Song
Journal:  Occup Environ Med       Date:  2016-08-02       Impact factor: 4.402

2.  Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons.

Authors:  Karl Y Bilimoria; Yaoming Liu; Jennifer L Paruch; Lynn Zhou; Thomas E Kmiecik; Clifford Y Ko; Mark E Cohen
Journal:  J Am Coll Surg       Date:  2013-09-18       Impact factor: 6.113

3.  Delay of treatment is associated with advanced stage of rectal cancer but not of colon cancer.

Authors:  Marianne Korsgaard; Lars Pedersen; Henrik Toft Sørensen; Søren Laurberg
Journal:  Cancer Detect Prev       Date:  2006-09-11

4.  Delay to curative surgery greater than 12 weeks is associated with increased mortality in patients with colorectal and breast cancer but not lung or thyroid cancer.

Authors:  Dong Wook Shin; Juhee Cho; So Young Kim; Eliseo Guallar; Seung Sik Hwang; Belong Cho; Jae Hwan Oh; Ki Wook Jung; Hong Gwan Seo; Jong Hyock Park
Journal:  Ann Surg Oncol       Date:  2013-03-26       Impact factor: 5.344

5.  Do diagnostic and treatment delays for colorectal cancer increase risk of death?

Authors:  Sandi L Pruitt; Amy Jo Harzke; Nicholas O Davidson; Mario Schootman
Journal:  Cancer Causes Control       Date:  2013-02-28       Impact factor: 2.506

6.  Increasing the Interval Between Neoadjuvant Chemoradiotherapy and Surgery in Rectal Cancer: A Meta-analysis of Published Studies.

Authors:  Fausto Petrelli; Giovanni Sgroi; Enrico Sarti; Sandro Barni
Journal:  Ann Surg       Date:  2016-03       Impact factor: 12.969

7.  A multicentric randomized controlled trial on the impact of lengthening the interval between neoadjuvant radiochemotherapy and surgery on complete pathological response in rectal cancer (GRECCAR-6 trial): rationale and design.

Authors:  Jérémie H Lefevre; Alexandra Rousseau; Magali Svrcek; Yann Parc; Tabassome Simon; Emmanuel Tiret
Journal:  BMC Cancer       Date:  2013-09-12       Impact factor: 4.430

8.  Cancer, COVID-19 and the precautionary principle: prioritizing treatment during a global pandemic.

Authors:  Timothy P Hanna; Gerald A Evans; Christopher M Booth
Journal:  Nat Rev Clin Oncol       Date:  2020-05       Impact factor: 66.675

9.  A War on Two Fronts: Cancer Care in the Time of COVID-19.

Authors:  Alexander Kutikov; David S Weinberg; Martin J Edelman; Eric M Horwitz; Robert G Uzzo; Richard I Fisher
Journal:  Ann Intern Med       Date:  2020-03-27       Impact factor: 25.391

10.  Cancer guidelines during the COVID-19 pandemic.

Authors:  Talha Khan Burki
Journal:  Lancet Oncol       Date:  2020-04-02       Impact factor: 41.316

  10 in total
  7 in total

1.  The snapshot audit methodology: design, implementation and analysis of prospective observational cohort studies in surgery.

Authors:  Gary A Bass; Lewis J Kaplan; Éanna J Ryan; Yang Cao; Meghan Lane-Fall; Caoimhe C Duffy; Emily A Vail; Shahin Mohseni
Journal:  Eur J Trauma Emerg Surg       Date:  2022-07-15       Impact factor: 2.374

Review 2.  Changes in the quality of cancer care as assessed through performance indicators during the first wave of the COVID-19 pandemic in 2020: a scoping review.

Authors:  Ana Sofia Carvalho; Óscar Brito Fernandes; Mats de Lange; Hester Lingsma; Niek Klazinga; Dionne Kringos
Journal:  BMC Health Serv Res       Date:  2022-06-17       Impact factor: 2.908

3.  Trends in Treatment of Colorectal Cancer and Short-term Outcomes During the First Wave of the COVID-19 Pandemic in Sweden.

Authors:  Karolina Eklöv; Jonas Nygren; Sven Bringman; Jenny Löfgren; Annika Sjövall; Caroline Nordenvall; Åsa H Everhov
Journal:  JAMA Netw Open       Date:  2022-05-02

Review 4.  Impact of COVID-19 on the outcomes of gastrointestinal surgery.

Authors:  Rahul Gupta; Jyoti Gupta; Houssem Ammar
Journal:  Clin J Gastroenterol       Date:  2021-04-29

5.  [Has the COVID-19 pandemic changed the clinical picture and tumour stage at the time of presentation of patients with colorectal cancer? A retrospective cohort study.]

Authors:  Oscar Cano-Valderrama; Raquel Sánchez-Santos; Vincenzo Vigorita; Marta Paniagua; Erene Flores; Lucia Garrido; Cristina Facal; Alejandro Ruano; Alberto San-Ildefonso; Enrique Moncada
Journal:  Cir Esp       Date:  2022-02-11       Impact factor: 1.653

6.  Colon cancer treatment in Sweden during the COVID-19 pandemic: A nationwide register-based study.

Authors:  Karolina Eklöv; Jonas Nygren; Sven Bringman; Jenny Löfgren; Annika Sjövall; Caroline Nordenvall; Åsa H Everhov
Journal:  Colorectal Dis       Date:  2022-04-19       Impact factor: 3.917

7.  The impact of surgical delay on resectability of colorectal cancer: An international prospective cohort study.

Authors: 
Journal:  Colorectal Dis       Date:  2022-03-14       Impact factor: 3.917

  7 in total

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