| Literature DB >> 35394561 |
Andrew P Zammit1, Nicholas J Lyons2, Mark D Chatfield3, John D Hooper2, Ian Brown3,4,5, David A Clark3,5,6,7, Andrew D Riddell3,8.
Abstract
PURPOSE: Malignant polyps present a treatment dilemma for clinicians and patients. This meta-analysis sought to identify the factors that predicted the management strategy for patients diagnosed with a malignant polyp.Entities:
Keywords: Cancer in adenoma; Colorectal cancer; Malignant polyp; Polypectomy; Surgical resection
Mesh:
Year: 2022 PMID: 35394561 PMCID: PMC9072497 DOI: 10.1007/s00384-022-04142-6
Source DB: PubMed Journal: Int J Colorectal Dis ISSN: 0179-1958 Impact factor: 2.796
Fig. 1Haggitt and Kikuchi description of level of invasion. Level of invasion as described by Haggitt for a pedunculated polyp (left) and by Kikuchi for a sessile polyp (right). Submucosa (sm) 1 carcinomas invade through the muscularis mucosae to a depth of 200 to 300 μm, Sm2 lies between Sm1 and Sm3, and Sm3 approaches the muscularis propria [4, 7]
Summary of guidelines for consideration for resection
| ACPGBI [ | AGA [ | JSCCR [ | ||
|---|---|---|---|---|
| Pedunculated | Sessile | |||
| Margins | < 1 mm ( 1–2 mm ( | < 1 mm | Involved cautery margin | Resection not required for horizontal margins, only for deep margins |
| Differentiation | Poorly differentiated | Poorly differentiated | Poorly differentiated | No comment |
| Lymphovascular invasion (LVI) | LVI + ( | LVI + | LVI + | No comment |
| Depth of invasion | Haggitt 4 or Kikuchi Sm3 | No comment | Submucosal invasion > 1 mm | > T1 depth |
| Tumour budding | Tumour budding present (intermediate risk) | No comment | Tumour budding present | No comment |
The Japanese guidelines suggest that MPs can be endoscopically treated for any T1 disease, as long as technically feasible. JSCCR guidelines suggest that positive horizontal margin can be surveilled regularly for evidence of recurrence
Fig. 2PRISMA diagram
Included studies
| First author | Year published | Sample size | Study type | Patient selection |
|---|---|---|---|---|
| Brown et al. [ | 2016 | 239 | Retrospective cohort study | All patients from private pathology database with a MP March 2007–September 2014 Total population size not applicable as from single pathology provider Moderate risk of bias for QUIPS Domain 1—given pathology only from private pathology database and may not represent general population |
| Cooper et al. [ | 2012 | 2077 | Retrospective cohort study | All patients ≥ 66 years old with a MP diagnosed between 1992 and 2005. Using the Surveillance Epidemiology and End Results Medicare (SEER) Database Total population size not documented, only covers patients registered with Medicare—representing around 93% of the patients over 64 years old—and only in geographic areas part of the SEER programme Colonic only polyps included Moderate risk of bias for QUIPS Domain 1—given only colonic polyps included |
| Cunningham et al. [ | 1994 | 36 | Not well described—likely case series | Unclear from methods. Methods state patients were identified retrospectively but do not give any further details on MP identification High risk of bias for QUIPS Domain 1—no description of participant selection |
| Fasoli et al. [ | 2015 | 306 (72 proceeded directly to surgery—suggesting these were not true MPs) | Retrospective cohort study | All MP detected in a colorectal cancer screening programme from April 2008 to April 2013 in 5 North-Eastern centres in Italy Total population size not documented |
| Fischer et al. [ | 2017 | 363 | Retrospective cohort study | All MP from 5 out of 6 district health boards in New Zealand between 1999 and 2013 Total population size 2.25 million |
| Gill et al. [ | 2012 | 386 | Retrospective cohort study | All MP from April 2006 to July 2010 from the NORthern Colorectal Cancer Audit Group (NORCCAG) database Total population size 3.1 million—all persons within the north of England |
| Gonçalves et al. [ | 2013 | 40 | Retrospective cohort study | All MP from January 2007-November 2012 by a single department in a single hospital (Hospital Braga) Total population size N/A |
| Levic et al. [ | 2015 | 50 | Retrospective cohort study | All MP from January 2003 to January 2008 from a single centre No documentation of total population covered |
| Levic et al. [ | 2019 | 692 | Retrospective cohort study | All MP from the Danish Colorectal Cancer Group (DCCG) database, national pathology data bank and the Danish Patient registry Covering over 99% of Danish population, representing over 5.5 million people [ |
| Netzer et al. [ | 1997 | 37 | Retrospective cohort study | All MP from a single institution in St Gallen, Switzerland from 1986 to 1995 Hospital covered total population of 500,000 |
| Senore et al. [ | 2018 | 392 | Retrospective cohort study | All patients with a T1 colorectal cancer completely removed via endoscopy—essentially a MP. From 7 hospitals in North-Western Italy No documentation of total population covered |
| Sharma et al. [ | 2020 | 173 | Retrospective cohort study | All patients with a MP from a single regional cancer network in UK from April 2012 to April 2015 Total population covered 1.5 million |
| Wasif et al. [ | 2011 | 19743 | Retrospective cohort study | All MP from 1988 to 2003 identified in the SEER database. At the time this represented 26% of the US population Moderate risk of bias for QUIPS Domain 1—given colonic polyps, excluded rectal polyps |
| Whitlow et al. [ | 1997 | 59 | Retrospective cohort study | All MP from 1972 to 1990 in a single institution (Oschner Clinic) with at least 6 months of follow up |
| Wu et al. [ | 2015 | 16 | Retrospective case series | Case series of 16 patients with a sessile MP from a single endoscopist from 1997 to 2010 Moderate risk of bias for QUIPS Domain 1—may not be reflective of general population |
Most commonly collected variables
| Variable | Number of studies reporting variable | Total number of patients reported |
|---|---|---|
| Age (continuous variable) | 8 (53%) | 21827 |
| Age (categorical variable) | 3 (20%) | 3320 |
| Gender | 9 (60%) | 23763 |
| Ethnicity | 3 (20%) | 21993 |
| American Society of Anaesthesiology score | 3 (20%) | 994 |
| Comorbidity scoring | 4 (27%) NB: different scoring systems employed by different studies | 924 |
| Polyp location | 11 (73%) | 23977 |
| Polyp morphology/type | 10 (67%) | 2050 |
| Lymphovascular invasion | 9 (60%) | 913 |
| Invasive cancer differentiation | 8 (53%) | 2224 |
| Polyp size | 7 (47%) | 1291 |
| Piecemeal resection | 5 (33%) | 1059 |
| Haggitt/Kikuchi level | 5 (33%) | 538 |
| Tumour budding | 4 (27%) | 353 |
| Precursor polyp type | 4 (27%) | 20144 |
| Mucinous differentiation | 2 (13%) | 931 |
Fig. 3Meta analysis of patient factors that were investigated to predict management plan. The overall result with 95% confidence interval is shown by the green diamond, with the extending lines representing the 95% prediction interval. NB: Gill et al. [30], Levic et al. [28] and Cooper et al. [33] had data comparing age in a categorical format. Gill et al. [30] demonstrated odds of surgery in those < 70 was 2.18 times (95%CI: 1.22–3.87) that of those > 70 years old. Levic et al. [28] demonstrated with chi-squared statistic that management differed between those < 70 and > 70 (p < 0.001). Cooper et al. [33] demonstrated with chi-squared statistic that management strategy was significantly different amongst 5 different age groups (p < 0.001)
Fig. 4Meta analysis of polyp pathological factors that were investigated to predict management plan. Pathological factors that were all investigated by odds ratios with 95% confidence intervals were LVI (A), Margins (B), Polyp Morphology (C), Tumour Differentiation (D) and Haggitt/Kikuchi Levels (E). Margins Pos indicates involved or margins within 1 mm. WD/MD indicates cancers that were well or moderately differentiated; poorly indicates cancers that were poorly differentiated. H1–3 indicates patients with Haggitt levels 1–3. Surg/Surgery indicates patients who were managed with a colorectal resection, whilst Polyp/Polypectomy indicates patients who were managed with polypectomy with surveillance. NB: Gill et al. [30] reported that LVI, differentiation and polyp morphology were not found to influence management strategy significantly. However, Gill et al. did not present their summary data, and so the study was not included these meta-analyses. Estimating the raw data, with an odds ratio of 1, did not significantly influence the outcomes of these meta-analyses