Literature DB >> 35429035

Letter: COVID-19 outcomes and anti-TNF treatments-comprehensive evidence matters. Authors' reply.

Georgios Kokkotis1, Konstantina Kitsou2, Giorgos Bamias1.   

Abstract

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Year:  2022        PMID: 35429035      PMCID: PMC9111210          DOI: 10.1111/apt.16904

Source DB:  PubMed          Journal:  Aliment Pharmacol Ther        ISSN: 0269-2813            Impact factor:   9.524


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Editors, We read with interest the letter by Hung et al. We appreciate their interest in our study and their constructive comments. We acknowledge their remarks on methodological issues regarding our work and provide our perspective. Registration of systematic reviews and meta‐analyses is not mandatory and we clearly stated that our study was not registered in our PRISMA checklist upon submission to the journal. While we agree on the merit of pre‐registration, it is also a fact that few of the Preferred reporting items for systematic review and meta‐analysis protocols (PRISMA‐P) are included in the respective registries. Additionally, our work was driven by a clearly defined hypothesis, that is to specifically review the effect of anti‐TNF treatments on COVID‐19 outcomes. For this reason, we do not comment on any other treatments. Regarding reproducibility, we provide a well‐stated search strategy and an extensive supplementary appendix. With regards to our search strategy, although not ideal, we believe that our search through PubMed and SCOPUS provides adequate and high‐quality peer‐reviewed studies, allowing us the safe extraction of our results. As far as the keywords are concerned, we respectfully disagree with the opinion that “tumour necrosis factor inhibitors” would have been a better term than our strategy which included the use of all possible forms of the abbreviation “anti‐TNF”, as well as the use of the name of every monoclonal antibody and receptor inhibitor, separately. We recognise the merit of statistical tests evaluating publication bias; nevertheless, we were unable to proceed so in our main analysis, due to the number of studies included being fewer than 10. We used graphical demonstrations with funnel plots for our sensitivity (secondary) analyses, where again the number of studies included does not constitute a large enough study sample; thus could probably lead to underpowered analyses. Apart from that, it has been shown that statistical tests for this kind of bias often demonstrate moderate to weak agreement among their results, and given the relatively restricted number of studies included we would not make clear inferences. However, these do not affect our main findings. Further, we discuss this limitation in our paper. Finally, we believe that inability of hospitalisation was not a major factor during the first wave of the pandemic. In fact, during the first wave of the pandemic higher hospitalisation rates have been reported compared to the second. This trend was attributed to the experience and evidence that were acquired during the first wave, as vaccines were still not available; thus, the natural history of the infection remained unchanged. More importantly, an increased risk for hospitalisation due to COVID‐19 was observed in IBD patients, without an increased risk of severe disease. This, probably, relates to higher precaution in patients with immune‐mediated diseases, due to treatment‐induced immunomodulation. One could argue that the hospitalisation rates for anti‐TNF‐treated patients are probably overestimated by the meta‐analysed studies and the precise association with reduced hospitalisation may be even greater.

AUTHOR CONTRIBUTIONS

Georgios Kokkotis: Conceptualization (equal); writing – original draft (equal). Konstantina Kitsou: Conceptualization (equal); writing – original draft (equal). Giorgos Bamias: Supervision (lead); writing – review and editing (equal).
  7 in total

1.  Empirical Comparison of Publication Bias Tests in Meta-Analysis.

Authors:  Lifeng Lin; Haitao Chu; Mohammad Hassan Murad; Chuan Hong; Zhiyong Qu; Stephen R Cole; Yong Chen
Journal:  J Gen Intern Med       Date:  2018-04-16       Impact factor: 5.128

2.  Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials.

Authors:  Jonathan A C Sterne; Alex J Sutton; John P A Ioannidis; Norma Terrin; David R Jones; Joseph Lau; James Carpenter; Gerta Rücker; Roger M Harbord; Christopher H Schmid; Jennifer Tetzlaff; Jonathan J Deeks; Jaime Peters; Petra Macaskill; Guido Schwarzer; Sue Duval; Douglas G Altman; David Moher; Julian P T Higgins
Journal:  BMJ       Date:  2011-07-22

3.  Systematic review with meta-analysis: COVID-19 outcomes in patients receiving anti-TNF treatments.

Authors:  Georgios Kokkotis; Konstantina Kitsou; Ioannis Xynogalas; Vana Spoulou; Gkikas Magiorkinis; Ioannis Trontzas; Panagiotis Trontzas; Garyphallia Poulakou; Konstantinos Syrigos; Giorgos Bamias
Journal:  Aliment Pharmacol Ther       Date:  2021-12-08       Impact factor: 8.171

4.  Inflammatory bowel disease and risk of severe COVID-19: A nationwide population-based cohort study in Sweden.

Authors:  Jonas F Ludvigsson; Jordan Axelrad; Jonas Halfvarson; Hamed Khalili; Emma Larsson; Paul Lochhead; Bjorn Roelstraete; Tracey G Simon; Jonas Söderling; Ola Olén
Journal:  United European Gastroenterol J       Date:  2021-03-11       Impact factor: 6.866

5.  Letter: COVID-19 outcomes and anti-TNF treatments-comprehensive evidence matters.

Authors:  Cheng-Hsien Hung; Tsung-Yuan Yang; James Cheng-Chung Wei
Journal:  Aliment Pharmacol Ther       Date:  2022-05       Impact factor: 8.171

6.  An assessment of the extent to which the contents of PROSPERO records meet the systematic review protocol reporting items in PRISMA-P.

Authors:  Alison Booth; Alex S Mitchell; Andrew Mott; Sophie James; Sarah Cockayne; Samantha Gascoyne; Catriona McDaid
Journal:  F1000Res       Date:  2020-07-27
  7 in total

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