Literature DB >> 32566556

Efficacy and safety of antibiotic agents in children with COVID-19: a rapid review.

Jianjian Wang1,2, Yuyi Tang3,4,5, Yanfang Ma2, Qi Zhou2,6, Weiguo Li3,4,5, Muna Baskota3,4,5, Yinmei Yang3,4,5, Xingmei Wang3,4,5, Qingyuan Li3,4,5, Xufei Luo1,2, Toshio Fukuoka7,8, Hyeong Sik Ahn9,10, Myeong Soo Lee11,12, Zhengxiu Luo3,4,5, Enmei Liu3,4,5, Yaolong Chen1,2,13,14,15.   

Abstract

BACKGROUND: The aim of this review was to evaluate the efficacy and safety of antibiotic agents in children with COVID-19, as well as to introduce the present situation of antibiotics use and bacterial coinfections in COVID-19 patients.
METHODS: We searched Cochrane library, Medline, Embase, Web of Science, CBM, Wanfang Data and CNKI from their inception to March 31, 2020. In addition, we searched related studies on COVID-19 published before March 31, 2020 through Google Scholar. We evaluated the risk of bias of included studies, and synthesized the results using a qualitative synthesis.
RESULTS: Six studies met our inclusion criteria. Five studies on SARS showed an overall risk of death of 7.2% to 20.0%. One study of SARS patients who used macrolides, quinolones or beta lactamases showed that the mean duration of hospital stay was 14.2, 13.8 and 16.2 days, respectively, and their average duration of fever was 14.3, 14.0 and 16.2 days, respectively. One cohort study on MERS indicated that macrolide therapy was not associated with a significant reduction in 90-day mortality (adjusted OR 0.84, 95% CI: 0.47-1.51, P=0.56) and improvement in MERS-CoV RNA clearance (adjusted HR 0.88, 95% CI: 0.47-1.64, P=0.68). According to the findings of 33 studies, the proportion of antibiotics use ranged from 19.4% to 100.0% in children and 13.2% to 100.0% in adults, despite the lack of etiological evidence. The most commonly used antibiotics in adults were quinolones, cephalosporins and macrolides and in children meropenem and linezolid.
CONCLUSIONS: The benefits of antibiotic agents for adults with SARS or MERS were questionable in the absence of bacterial coinfections. There is no evidence to support the use of antibiotic agents for children with COVID-19 in the absence of bacterial coinfection. 2020 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Antibiotic agents; COVID-19; children; rapid review

Year:  2020        PMID: 32566556      PMCID: PMC7290645          DOI: 10.21037/atm-20-3300

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


Introduction

In December 2019, an unexplained pneumonia emerged in Wuhan, China, and has since then spread rapidly throughout the country and the world. On February 11, the International Committee on Taxonomy of Viruses (ICTV) named the virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (1). On the same day, the World Health Organization (WHO) named the disease caused by the virus as COVID-19 (2). According to the latest data, by March 31, 2020, a total of 1,174,866 cases had been confirmed worldwide, with 36,405 deaths. The number of confirmed cases in children continues to increase, with the youngest infected person being diagnosed only several minutes after birth (3). The outbreak of COVID-19 is the third introduction of a highly pathogenic coronavirus into the human population in the twenty-first century, after the severe acute respiratory syndrome (SARS) and middle east respiratory syndrome (MERS) epidemics (4). At present, there are no standardized or specific treatment schemes for COVID-19 patients, and the clinical treatment mainly focuses on symptomatic and supportive care. In principle, antibiotic agents should not be applied for viral infectious diseases like COVID-19, unless there is a bacterial coinfection. Besides, children have a higher risk of antibiotic-related adverse events than adults because of their anatomical and physiological features, particularly in the first years of life (5). Timely use of antibiotics is however needed when secondary bacterial infections are confirmed or community-acquired infections cannot be excluded (6-11). The potential overuse of antibiotics in patients infected with SARS-CoV-2 has become a major concern. Seven guidelines for COVID-19 have consistently pointed out that the unnecessary use of antibiotic agents, especially combinations of broad-spectrum antibiotics, should be avoided. According to a case series of 1,099 patients with COVID-19, a majority of the patients (58.0%) received intravenous antibiotic therapy (12). Moreover, multiple case series and a cohort study of SARS patients testified that the proportion of patients receiving antibiotic agents used in the absence of a confirmed bacterial coinfection was between 50.0% and 100.0%, among whom 50.0% to 96.0% were treated with a combination of several antibiotic agents. The use of antibiotics over a long duration and in combinations of multiple agents not only showed no efficacy to the disease progress, but also caused complications such as potentially fatal secondary infections (13-18). However, some authors have argued that prophylactic use of antibiotics in the early stage can play a role in preventing infections in SARS patients (19). One study on SARS patients reported one patient recovered after receiving antibacterial treatment alone, and the condition of other patients improved after comprehensive treatment including antibiotics (20). It is undisputed that antibiotic agents are essential for the treatment of confirmed bacterial infections, but whether antibiotic agents should be used to treat children with COVID-19 still remains a controversial issue. Therefore, we performed a rapid review to assess the value of antibiotic agents in children with COVID-19 and provide supporting evidence for the Rapid Advice Guideline for Management of Children with COVID-19. In addition, we intended to evaluate the current condition of the use of antibiotics and secondary infections in patients with COVID-19. We present the following article in accordance with the PRISMA reporting checklist (available at http://dx.doi.org/10.21037/atm-20-3300) (21).

Methods

Search strategy

About the value of antibiotic agents in children with COVID-19, the following seven electronic databases were searched: Cochrane library, MEDLINE (via PubMed), Embase, Web of Science, CBM (China Biology Medicine disc), CNKI (China National Knowledge Infrastructure), and Wanfang Data up to March 31, 2020. The main terms were “2019-novel coronavirus”, “COVID-19”, “Middle East Respiratory Syndrome”, “Severe Acute Respiratory Syndrome” and “antibiotic agents” and so on (The details of the search strategy can be found in the Supplementary Material 1). We also searched clinical trial registry platforms (the World Health Organization Clinical Trials Registry Platform (http://www.who.int/ictrp/en/), US National Institutes of Health Trials Register (https://clinicaltrials.gov/), ISRCTN Register (https://www.isrctn.com/)), Google Scholar (https://scholar.google.nl/), and reference lists of all included publications for further potential studies. About the current condition of the use of antibiotics and bacterial coinfections in patients with COVID-19, we searched all case series, case reports and descriptive studies related to COVID-19 published before March 31, 2020 through Google Scholar.

Inclusion and exclusion criteria

To assess the current condition of the use of antibiotics and bacterial coinfections in patients with COVID-19, we included all case series, case reports and descriptive studies related to COVID-19, which reported the information on antibiotics use or bacterial coinfections. However, we ruled out studies without clear description on whether antibiotics were used for treating COVID-19, such as routinely use antibiotics after surgery or antibiotics used as eye drops. To assess the value of antibiotic use in children with COVID-19, we included studies that met the following criteria: (I) Types of studies: We primarily considered all types of studies about the use of antibiotics to treat patients with COVID-19. If we failed to identify sufficiently many studies, we also included studies about using antibiotics to treat SARS and MERS. (II) Types of participants: Studies including patients diagnosed with COVID-19 (and SARS and MERS if necessary), without restrictions on age, race, gender, geographical location or setting, were included. (III) Types of interventions: We included studies that compared the outcomes between patients taking antibiotic agents and those not. The types of antibiotics were not limited. We also included case series and case reports on comprehensive treatment with antibiotics and other drugs. Studies that only mentioned antibiotic treatment without explaining the specific methods of use and treatment effects were excluded. (IV) Types of outcomes: The primary outcomes were mortality, duration of hospitalization and duration of fever. Secondary outcomes included chest X-ray absorptivity and other relevant indicators mentioned in the included studies. We excluded: (I) animal studies and in vitro experiments; (II) studies not published in English or Chinese; (III) duplicates; or (IV) conference abstracts, comments, and similar documents.

Study selection

After eliminating duplicates, two reviewers (J Wang and Y Tang) performed independent searches in two steps as described below. Discrepancies were settled by discussion or consultation with a third reviewer (Y Ma). We used the bibliographic software EndNote. Prior to the formal selection, a training exercise of a random sample of 50 citations was conducted to ensure the reliability and feasibility of selection, until sufficient agreement on the selecting methods was reached. In Step 1, all titles and abstracts were screened using pre-defined criteria. Studies were categorized into three groups (potentially eligible, excluded, and unclear). In Step 2, full-texts of potentially eligible and unclear studies were reviewed to identify the final inclusion. All reasons for exclusion of ineligible studies were recorded, and the process of study selection was documented using a PRISMA flow diagram (22).

Data extraction

Two reviewers (J Wang and Y Tang) extracted the data independently with a standard data collection form. Any disagreements were resolved by consensus, and a third reviewer (Y Ma) checked the consistency and accuracy of the data. Before the formal extraction, the form was piloted on a random sample of three included studies. The extraction form was finalized after counselling with clinicians. Data extracted included: (I) basic information: title, first author, publication year, study design and sample size; (II) participants: baseline characteristics and disease of patients; (III) details of the intervention and control conditions; and (IV) outcomes. For dichotomous outcomes, we abstracted the number of events and total number of participants in each group; for continuous outcomes, we abstracted means, standard deviations (SD), and the number of total participants in each group. Outcomes with zero events were reported, but excluded from analysis. About the case series and case reports of the use of antibiotics and bacterial coinfections in patients with COVID-19, we extracted basic information and the types and ratio of antibiotics and bacterial coinfections.

Risk of bias assessment

We applied the Cochrane risk-of-bias (RoB) tool (23) for RCTs, Newcastle-Ottawa Scale (NOS) (24,25) for cohort studies and case-control studies, and the criteria recommended by the National Institute of Health and Clinical Optimization (NICE) for case series to assess the risk of bias (26). Two reviewers assessed the risk of bias independently following the overall assessment principle and disagreements were discussed in a consensus meeting. We used the above tools to produce a “Risk of Bias” summary table that included items, judgements, and support for judgements. We did not assess the quality of case series and case reports on the use of antibiotics and bacterial coinfections in patients with COVID-19.

Data synthesis

If the data were similar enough to be summarized in a meaningful way, we would conduct a meta-analysis using Review Manager 5.3. We would use fixed-effect meta-analysis for combining data where it was reasonable to assume that studies were evaluating the same underlying treatment effect, that was where trials all took the same intervention, and the trials’ populations and methods were judged to be sufficiently similar. If the clinical heterogeneity was sufficient enough to expect that the underlying treatment effects differ between trials, or if statistical heterogeneity was detected (I2 statistic >50%), we used a random-effects meta-analysis to produce an overall summary, on the condition that an average treatment effect across trials was considered clinically meaningful. A qualitative synthesis was performed when significant heterogeneity existed. For the case series and case reports on the use of antibiotics and bacterial coinfections in patients with COVID-19, we only described the current situation.

Quality of the evidence assessment

Two reviewers (Jianjian Wang and Yuyi Tang) assessed the quality of evidence independently by using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. In the GRADE approach, direct evidence from RCTs begins at high quality, and evidence from observational studies at low level. The quality can be downgraded for five reasons (study limitations, consistency of effect, imprecision, indirectness, and publication bias) and upgraded for three reasons (large magnitude of effect, dose-response relation, and plausible confounders or biases) (27-32). In order to reflect the extent of our confidence that the estimates of the effect are correct, the quality of evidence will be graded as high, moderate, low, or very low. We produced a “Summary of Findings” table, which presented the overall quality of a body of evidence for each outcome, by using the GRADEpro software (33,34). We did not assess the quality of evidence of the case series and case reports on the use of antibiotics and bacterial coinfections in patients with COVID-19. As COVID-19 is a public health emergency of international concern and the situation is evolving rapidly, our study was not registered in order to speed up the process (35).

Results

Clinical effects and safety of antibiotics

Study results

The literature search () yielded 2,183 relevant records of studies on the value of the use of antibiotic agents (including studies on SARS and MERS), 778 of which were duplicates. After application of the exclusion criteria, six studies were included in the qualitative synthesis. There were no studies on COVID-19, therefore, we included studies on SARS and MERS fulfilling the inclusion criteria.
Figure 1

Flow diagram of the literature search.

Flow diagram of the literature search.

Overview of studies

The six included studies were published between 2003 and 2019 (18,36-40). Sample sizes ranged between 10 and 349, with a total of 626 participants (). All participants of the six studies were adults; no studies on children were found. Five studies investigated SARS patients and one study enrolled patients with MERS. Due to the significant heterogeneity, we only conducted a qualitative synthesis instead of a meta-analysis.
Table 1

Characteristics and risk of bias of the included studies

StudyCountryStudy designSample sizePatientsDiseaseAge (range or mean ± SD)Sex (male/female)OutcomesRisk of bias
Cao 2003 (36)ChinaCase series77AdultsSARS23–7748/292/8
Huang 2003 (37)ChinaCase series38AdultsSARS22–6722/16①②③5/8
Liu 2003 (38)ChinaCase series14AdultsSARS21–716/84/8
Sung 2015 (18)ChinaCase series138AdultsSARS39.3±16.866/725/8
Tsang 2003 (39)ChinaCase series10AdultsSARS35–725/54/8
Arabi 2019 (40)Saudi ArabiaCohort study349AdultsMERS42–71241/108①④8/9

①, Mortality; ②, Duration of hospitalization; ③, Duration of fever; ④, RNA clearance.

①, Mortality; ②, Duration of hospitalization; ③, Duration of fever; ④, RNA clearance.

Risk of bias

An overview of the quality of the included studies is presented in . Four case series had a moderate risk (score 4 to 5 out of 8), one case series had a high risk (score 2 out of 8), and the cohort study had a low risk (score 8 out of 9).

Summary of included studies

Mortality

Mortality was the main outcome of all studies. In one study on SARS patients who took cephalosporin, macrolides and some broad-spectrum antibiotics, the risk of death was 13.0% (36). One case series of SARS patients showed that the risk of death in patients who used macrolides, quinolones and beta lactamases separately was 6.7%, 3.3% and 13.0%, respectively (37). Another case series of SARS patients showed a risk of death of 14.3% after using antibiotic agents for patients with confirmed secondary infection (38). One case series of patients using broad-spectrum antibiotics in the first two days, and another case series where the participants used a combination of beta-lactams and macrolide, showed overall risk of death of 10.9% and 20.0%, respectively (18,39). For MERS patients (40), there was no difference in the risk of death between patients treated with or without macrolide (adjusted OR 0.84, 95% CI: 0.47, 1.51, P=0.56).

Duration of hospitalization

Only one study of SARS patients investigated the duration of hospital stay. In patients who used macrolides, quinolones or beta lactamases, the mean duration of hospital stay was 14.2, 13.8, and 16.2 days, respectively (37).

Duration of fever

One case series investigated the time from hospitalization until reaching normal body temperature in SARS patients. Patients treated with macrolides, quinolones or beta lactamases had an average fever duration of 14.3, 14.0, or 16.2 days, respectively (37).

RNA clearance

One study of MERS patients revealed that macrolide therapy was not associated with MERS-CoV RNA clearance (adjusted HR=0.88, 95% CI: 0.47, 1.64, P=0.68) (40).

Quality of evidence

For studies on SARS, the quality of evidence on mortality, duration of hospitalization and duration of fever was very low. The main reason was the risk of bias. For studies on MERS, the quality of evidence for the RNA clearance and 90-day mortality was low ().
Table 2

Quality of evidence

OutcomeNo. of studies/designSample sizeQuality of the evidence (GRADE)Relative effect (95% CI)
SARS
   Mortality5 case series (18,35-38)277Very low7.2% to 20.0%
   Duration of hospitalization (d)1 case series (36)38Very low3.38
   Duration of fever (d)1 case series (36)38Very low0.84
MERS
   RNA clearance1 cohort study (39)349LowHR =0.88 (0.47, 1.64)
   Mortality1 cohort study (39)349LowOR =0.84 (0.47, 1.51)

CI, confidence interval; HR, adjusted hazard ratio; OR, adjusted odds ratio.

CI, confidence interval; HR, adjusted hazard ratio; OR, adjusted odds ratio.

Antibiotic agents and bacterial coinfection in studies on COVID-19

We identified 33 studies on COVID-19 that reported on antibiotic use or bacterial coinfections (). Four studies on children with COVID-19 revealed that the proportion of the use of antibiotics ranged from 19.4% to 100.0%. The most commonly used types were meropenem and linezolid. However, none of the four studies mentioned any etiological findings. Twenty-nine studies of COVID-19 in adults showed that 13.2% to 100.0% of patients received antibiotics during hospital stay. The most commonly used types in adults were quinolones (especially moxifloxacin), cephalosporin and macrolides. However, only 1.0% to 27.3% of the patients had bacterial coinfections and the most common pathogens were Gram-negative bacillus such as Acinetobacter baumannii, Klebsiella pneumoniae and Haemophilus influenzae.
Table 3

Antibiotic agents and bacterial coinfections in studies on COVID-19

StudyStudy designPatientsSample sizeAntibiotic agentsBacterial coinfection
TypesN (%)TypesN (%)
Wang 2020 (41)Case seriesChildren316 (19.4)
Chen 2020 (42)Case reportChildren1Meropenem, Linezolid1 (100.0)
Cai 2020 (43)Case reportChildren105 (50.0)
Liu 2020 (44)Case reportChildren66 (100.0)
Xu 2020 (45)Case seriesAdults62Quinolones, Second-generation cephalosporin28 (45.2)
Chen 2020 (46)Case seriesAdults99Cefoperazone, Quinolones, Carbapenems, Tigecycline, Linezolid70 (70.7)Acinetobacter baumannii, Klebsiella pneumoniae1 (1.0)
Chen 2020 (47)Case seriesAdults291 (3.4)
Fang 2020 (48)Case seriesAdults79Moxifloxacin, Levofloxacin, Cefoperazone sulbactam49 (62.0)
Wang 2020 (49)Case reportAdults44 (100.0)
Wang 2020 (50)Case seriesAdults138Moxifloxacin, Ceftriaxone, Azithromycin138 (100.0)
Guan 2020 (12)Case seriesAdults1,099637 (58.0)
Wu 2020 (51)Case seriesAdults and children80Moxifloxacin73 (91.3)
Liu 2020 (52)Case seriesAdults137119 (86.9)
Zhang 2020 (53)Case reportAdults2Moxifloxacin2 (100.0)
Huang 2020 (54)Case seriesAdults4141 (100.0)4 (10.0)
Gao 2020 (55)Case seriesAdults11Moxifloxacin, Azithromycin3 (27.3)3 (27.3)
Zhao 2020 (56)Case reportAdults2Moxifloxacin, Meropenem, Imipenem2 (100.0)
Shi 2020 (57)Case seriesAdults6722 (32.8)
Easom 2020 (58)Case seriesAdults and children68Doxycycline, Moxifloxacin9 (13.2)Staphylococcus aureus, E.coli, Haemophilus influenzae4 (5.9)
Chen 2020 (59)Descriptive studyAdults274Moxifloxacin, Cefoperazone, Azithromycin249 (90.9)
Chu 2020 (60)Case seriesAdults5431 (57.4)
Hayato 2020 (61)Case reportAdults1Cefepime1 (100.0)
Bai 2020 (62)Case seriesAdults58Levofloxacin, Moxifloxacin, Meropenem, Cefixime29 (50.0)
Wang 2020 (63)Case seriesAdults67Moxifloxacin66 (98.5)Enterobacter cloacae, Acinetobacter baumannii5 (7.5)
Chen 2020 (64)Case seriesAdults54Moxifloxacin, Cephalosporin, Carbapenems54 (100.0)
Shang 2020 (65)Case seriesAdults36Moxifloxacin, Azithromycin, Piperacillin sulbactam
Cheng 2020 (66)Cross-sectional studyAdults290Moxifloxacin, Levofloxacin, Cefdinir267 (92.1)
Cheng 2020 (67)Case seriesAdults54Levofloxacin54 (100.0)
Lei 2020 (68)Case reportAdults9Cephalosporin, Azithromycin, Meropenem, Imipenem9 (100.0)
Chen 2020 (69)Case reportAdults and children9Moxifloxacin9 (100.0)
Wan 2020 (70)Case seriesAdults13559 (43.7)
Ding 2020 (71)Case reportAdults55 (100.0)
Zhou 2020 (72)Cohort studyAdults191181 (95.0)28 (15.0)

Discussion

There is no direct evidence to support the efficacy of antibiotic agents in children with COVID-19. A high proportion of patients with COVID-19 were treated with antibiotics, despite the lack of etiological evidence. Current evidence suggests that secondary bacterial infections such as Acinetobacter baumannii and Klebsiella pneumoniae may occur in COVID-19 patients, and antibiotic agents are widely used in the clinical treatment of COVID-19. For SARS, evidence suggests that early use of antibiotics has no effect on the clinical outcomes, but the use of broad-spectrum antibiotics increased the risk of dysbacteriosis, which can cause nosocomial infections (18,36,37,39). However, when bacterial infections are identified, rational use of antibiotic agents showed valid results in relieving symptoms and reducing the leukocyte count (38). The use of antibiotic agents is one of the most important clinical questions related to the management of COVID-19 in children. Most current guidelines suggest avoiding use of antibiotic agents blindly or inappropriately. They should only be used when there are confirmed secondary bacterial infections (73). Meanwhile, some guidelines and expert consensus statements believe that the use of antibiotic agents could be taken into consideration after glucocorticoid treatment, or if the patient has severe or critical illness, extensive lesion range, or large amount of airway secretions (74). A systematic review of non-severe pneumonia in children however found no evidence to support or question the continued use of antibiotic agents in children with non-severe pneumonia (75). Some researchers have emphasized the importance of toxic side effects and drug resistance to antibiotics (76), and many studies have also analyzed the bacterial types and drug resistance of secondary bacterial infections in SARS patients. Secondary infections are considered as an important risk factor for mortality in SARS patients (77,78). This is the first systematic review aiming to assess the application of antibiotic agents for children with COVID-19. This study summarizes the literature on the efficacy and safety of antibiotic agents in the treatment of patients with COVID-19, SARS, and MERS. Both the amount and quality of the literature covered by this systematic review are however limited. This review mainly covered studies on the treatment of COVID-19 in adults and on SARS and MERS since we found no direct evidence for the treatment of COVID-19 in children. Due to the difference of patients’ inclusion criteria, treatment protocols, and outcomes measures among different studies, we were unable to carry out a meta-analysis. Therefore, high-quality clinical trials are needed to further confirm the efficacy of antibiotic agents for children with COVID-19. In addition, future studies should allow sufficient follow-up time and focus more on the adverse reactions to better evaluate the safety of antibiotic agents.

Conclusions

In summary, we found no direct evidence to support the efficacy of antibiotic agents in children with COVID-19. Therefore, it remains unclear whether antibiotic agents should be used to treat children with COVID-19. Our rapid review showed that the benefits of antibiotics for adults infected with SARS or MERS was questionable in the absence of bacterial coinfections. We therefore recommend against the use of antibiotic agents for children with COVID-19 when there is no evidence of bacterial coinfection. The article’s supplementary files as
  49 in total

1.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  J Clin Epidemiol       Date:  2009-07-23       Impact factor: 6.437

2.  GRADE guidelines 6. Rating the quality of evidence--imprecision.

Authors:  Gordon H Guyatt; Andrew D Oxman; Regina Kunz; Jan Brozek; Pablo Alonso-Coello; David Rind; P J Devereaux; Victor M Montori; Bo Freyschuss; Gunn Vist; Roman Jaeschke; John W Williams; Mohammad Hassan Murad; David Sinclair; Yngve Falck-Ytter; Joerg Meerpohl; Craig Whittington; Kristian Thorlund; Jeff Andrews; Holger J Schünemann
Journal:  J Clin Epidemiol       Date:  2011-08-11       Impact factor: 6.437

3.  GRADE guidelines: 5. Rating the quality of evidence--publication bias.

Authors:  Gordon H Guyatt; Andrew D Oxman; Victor Montori; Gunn Vist; Regina Kunz; Jan Brozek; Pablo Alonso-Coello; Ben Djulbegovic; David Atkins; Yngve Falck-Ytter; John W Williams; Joerg Meerpohl; Susan L Norris; Elie A Akl; Holger J Schünemann
Journal:  J Clin Epidemiol       Date:  2011-07-30       Impact factor: 6.437

4.  A cluster of cases of severe acute respiratory syndrome in Hong Kong.

Authors:  Kenneth W Tsang; Pak L Ho; Gaik C Ooi; Wilson K Yee; Teresa Wang; Moira Chan-Yeung; Wah K Lam; Wing H Seto; Loretta Y Yam; Thomas M Cheung; Poon C Wong; Bing Lam; Mary S Ip; Jane Chan; Kwok Y Yuen; Kar N Lai
Journal:  N Engl J Med       Date:  2003-03-31       Impact factor: 91.245

Review 5.  Association between prospective registration and overall reporting and methodological quality of systematic reviews: a meta-epidemiological study.

Authors:  Long Ge; Jin-Hui Tian; Ya-Nan Li; Jia-Xue Pan; Ge Li; Dang Wei; Xin Xing; Bei Pan; Yao-Long Chen; Fu-Jian Song; Ke-Hu Yang
Journal:  J Clin Epidemiol       Date:  2017-10-31       Impact factor: 6.437

6.  Severe acute respiratory syndrome: report of treatment and outcome after a major outbreak.

Authors:  J J Y Sung; A Wu; G M Joynt; K Y Yuen; N Lee; P K S Chan; C S Cockram; A T Ahuja; L M Yu; V W Wong; D S C Hui
Journal:  Thorax       Date:  2004-05       Impact factor: 9.139

7.  The Cochrane Collaboration's tool for assessing risk of bias in randomised trials.

Authors:  Julian P T Higgins; Douglas G Altman; Peter C Gøtzsche; Peter Jüni; David Moher; Andrew D Oxman; Jelena Savovic; Kenneth F Schulz; Laura Weeks; Jonathan A C Sterne
Journal:  BMJ       Date:  2011-10-18

8.  Macrolides in critically ill patients with Middle East Respiratory Syndrome.

Authors:  Yaseen M Arabi; Ahmad M Deeb; Fahad Al-Hameed; Yasser Mandourah; Ghaleb A Almekhlafi; Anees A Sindi; Awad Al-Omari; Sarah Shalhoub; Ahmed Mady; Basem Alraddadi; Abdullah Almotairi; Kasim Al Khatib; Ahmed Abdulmomen; Ismael Qushmaq; Othman Solaiman; Abdulsalam M Al-Aithan; Rajaa Al-Raddadi; Ahmad Ragab; Abdulrahman Al Harthy; Ayman Kharaba; Jesna Jose; Tarek Dabbagh; Robert A Fowler; Hanan H Balkhy; Laura Merson; Frederick G Hayden
Journal:  Int J Infect Dis       Date:  2019-01-25       Impact factor: 3.623

9.  Clinical management of respiratory syndrome in patients hospitalized for suspected Middle East respiratory syndrome coronavirus infection in the Paris area from 2013 to 2016.

Authors:  A Bleibtreu; S Jaureguiberry; N Houhou; D Boutolleau; H Guillot; D Vallois; J C Lucet; J Robert; B Mourvillier; J Delemazure; M Jaspard; F X Lescure; C Rioux; E Caumes; Y Yazdanapanah
Journal:  BMC Infect Dis       Date:  2018-07-16       Impact factor: 3.090

10.  Sixty-eight consecutive patients assessed for COVID-19 infection: Experience from a UK Regional infectious diseases Unit.

Authors:  Nicholas Easom; Peter Moss; Gavin Barlow; Anda Samson; Thomas Taynton; Kate Adams; Monica Ivan; Phillipa Burns; Kavitha Gajee; Kirstine Eastick; Patrick J Lillie
Journal:  Influenza Other Respir Viruses       Date:  2020-04-08       Impact factor: 4.380

View more
  6 in total

1.  Decreased survival in children inpatients with COVID-19 and antibiotic prescription.

Authors:  Efrén Murillo-Zamora; Xóchitl Trujillo; Miguel Huerta; Mónica Ríos-Silva; Agustin Lugo-Radillo; Oliver Mendoza-Cano
Journal:  BMC Infect Dis       Date:  2022-06-10       Impact factor: 3.667

Review 2.  SARS-COV-2 - the pandemic of the XXI century, clinical manifestations - neurological implications.

Authors:  Vicentiu Saceleanu; Mihai-Stelian Moreanu; Razvan-Adrian Covache-Busuioc; Aurel George Mohan; Alexandru-Vlad Ciurea
Journal:  J Med Life       Date:  2022-03

3.  Methodology and experiences of rapid advice guideline development for children with COVID-19: responding to the COVID-19 outbreak quickly and efficiently.

Authors:  Qi Zhou; Qinyuan Li; Janne Estill; Qi Wang; Zijun Wang; Qianling Shi; Jingyi Zhang; Xiaobo Zhang; Joseph L Mathew; Rosalind L Smyth; Detty Nurdiati; Zhou Fu; Hongmei Xu; Xianlan Zheng; Xiaodong Zhao; Quan Lu; Hui Liu; Yangqin Xun; Weiguo Li; Shu Yang; Xixi Feng; Mengshu Wang; Junqiang Lei; Xiaoping Luo; Liqun Wu; Xiaoxia Lu; Myeong Soo Lee; Shunying Zhao; Edwin Shih-Yen Chan; Yuan Qian; Wenwei Tu; Xiaoyan Dong; Guobao Li; Ruiqiu Zhao; Zhihui He; Siya Zhao; Xiao Liu; Qiu Li; Kehu Yang; Zhengxiu Luo; Enmei Liu; Yaolong Chen
Journal:  BMC Med Res Methodol       Date:  2022-04-03       Impact factor: 4.615

Review 4.  Rapid advice guidelines for management of children with COVID-19.

Authors:  Enmei Liu; Rosalind L Smyth; Zhengxiu Luo; Amir Qaseem; Joseph L Mathew; Quan Lu; Zhou Fu; Xiaodong Zhao; Shunying Zhao; Janne Estill; Edwin Shih-Yen Chan; Lei Liu; Yuan Qian; Hongmei Xu; Qi Wang; Toshio Fukuoka; Xiaoping Luo; Gary Wing-Kin Wong; Junqiang Lei; Detty Nurdiati; Wenwei Tu; Xiaobo Zhang; Xianlan Zheng; Hyeong Sik Ahn; Mengshu Wang; Xiaoyan Dong; Liqun Wu; Myeong Soo Lee; Guobao Li; Shu Yang; Xixi Feng; Ruiqiu Zhao; Xiaoxia Lu; Zhihui He; Shihui Liu; Weiguo Li; Qi Zhou; Luo Ren; Yaolong Chen; Qiu Li
Journal:  Ann Transl Med       Date:  2020-05

Review 5.  An Examination of COVID-19 Medications' Effectiveness in Managing and Treating COVID-19 Patients: A Comparative Review.

Authors:  Mahmoud Al-Masaeed; Mohammad Alghawanmeh; Ashraf Al-Singlawi; Rawan Alsababha; Muhammad Alqudah
Journal:  Healthcare (Basel)       Date:  2021-05-10

Review 6.  SARS-CoV-2 microbiome dysbiosis linked disorders and possible probiotics role.

Authors:  Ahmad Ud Din; Maryam Mazhar; Muhammed Waseem; Waqar Ahmad; Asma Bibi; Adil Hassan; Niaz Ali; Wang Gang; Gao Qian; Razi Ullah; Tariq Shah; Mehraj Ullah; Israr Khan; Muhammad Farrukh Nisar; Jianbo Wu
Journal:  Biomed Pharmacother       Date:  2020-11-11       Impact factor: 7.419

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.