Evidence mapPaperPMID 36337713Full record

ReviewSurgery in practice and science2022

Efficacy of bariatric surgery in COVID-19 patients: An updated systematic review and meta-analysis.

Nimra Hasnain, Abdul Moeed, Eisha Waqar, Syed Ali Farhan, Fnu Amreek

Open access · goldAbstract readReview
In one paragraph

Review in Surgery in practice and science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Nimra HasnainDepartment of Surgery, Ruth Pfau. Civil Hospital Karachi, Pakistan.
Abdul MoeedDow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Eisha WaqarDow Medical College, Dow University of Health Sciences, Karachi, Pakistan.
Syed Ali FarhanDepartment of Surgery, VCU Health, Richmond, VA, USA.
Fnu AmreekDepartment of Surgery, Yale New Haven Hospital, CT, USA.
Dow University of Health Sciences · PKChildren's Hospital of Richmond at VCU · USCivil Hospital Karachi · PKYale New Haven Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Obesity is linked with poor outcomes in patients with SARS-CoV-2 infection. In patients with BMI > 35 kg/m Methods: An extensive literature search was conducted of electronic databases. Screening of the articles based on the eligibility criteria was followed by relevant data extraction. In addition to articles used in a previous meta-analysis, relevant databases were searched to filter for any new articles. Initially, two independent reviewers screened Pubmed and the Cochrane database followed by a thorough search of additional databases such as Google scholar and Medrxiv. Articles were first screened using title and abstract, followed by a full text read. Duplicates, meta-analysis, letter to the editors, and commentaries were excluded. No language restrictions were applied. Results: A total of nine articles with a population of 1,130,341 were entered into RevMan. Patients with bariatric surgery displayed significantly decreased hospitalization (OR: 0.52, 95% CI [0.45, 0.61]), were less likely to be admitted to the ICU (OR: 0.44, 95% CI [0.29, 0.67]), and had reduced overall mortality (OR: 0.42, 95% CI [0.25, 0.70]). Conclusion: Surgically induced weight loss is beneficial in reducing morbidity and mortality of COVID-19.

Indexed as

Bariatric surgeryCOVID-19Weight loss

Identifiers

PMID36337713
PMCPMC9616481
OpenAlexW4307723343

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.