Evidence map›Paper›PMID 36046311›Full record

ReviewCureus2022

Outcomes of Patients With Acute Limb Ischemia in Patients With COVID-19: A Systemic Review and Meta-Analysis.

Ankit Jain, Abhinaya Reddy, Rajeswari Murugesan, Souradeep Dutta, Uday Kumbhar, Ajay Savlania, Sivaranjit K Vaka

Abstract readReview
In one paragraph

Review in Cureus, 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
–field-weighted citation impact
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.

  1. Review
  2. Observational
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

7 authors.

Ankit JainSurgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND.
Abhinaya ReddySurgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND.
Rajeswari MurugesanBiostatistics, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND.
Souradeep DuttaSurgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND.
Uday KumbharSurgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND.
Ajay SavlaniaSurgery, Postgraduate Institute of Medical Education and Research, Chandigarh, IND.
Sivaranjit K VakaSurgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systemic review and meta-analysis of perioperative outcomes of acute limb ischemia (ALI) in patients with and without coronavirus disease-2019 (COVID-19) to determine the outcomes of ALI and compare the outcomes in patients with and without COVID-19 infection. A literature search of the Medline, Science Direct and Cochrane Library was performed from inception to July 15, 2021. Studies involving ALI in patients with COVID-19 were searched through three electronic databases. The endpoints include limb salvage, re-thrombosis, and mortality, and these outcomes were compared between patients with and without COVID-19 infection and type of management. The primary outcome was early limb salvage (till the patient was discharged from the hospital). The other outcomes assessed were re-thrombosis and mortality. These outcomes were compared between patients with and without COVID-19 infection and the type of management. Pooled estimates were presented as odds ratios (ORs) using a random or fixed effect model based on the results of the chi-square test and calculation of I

Indexed as

acute limb ischemiacovid 19covid 19-acute limb ischemiacovid-19 retrolimb-salvagemortality

Identifiers

PMID36046311
PMCPMC9418627

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.