Evidence map›Paper›PMID 37344057›Full record

SynthesisClinical nutrition ESPEN2023

Which vertebral level should be used to calculate sarcopenia in covid-19 patients? A systematic review and meta-analysis.

Ramish Sumbal, Anusha Sumbal, Mirza Mehmood Ali Baig

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical nutrition ESPEN, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Ramish SumbalDow University of Health and Science, Baba-E-Urdu Road, 74200, Karachi, Pakistan. Electronic address: ramishsumbal1998@gmail.com.
Anusha SumbalDow University of Health and Science, Baba-E-Urdu Road, 74200, Karachi, Pakistan.
Mirza Mehmood Ali BaigDow University of Health and Science, Baba-E-Urdu Road, 74200, Karachi, Pakistan.
Dow University of Health Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsEvidence shows that CT-derived sarcopenia can predict adverse outcomes in COVID-19 patients. However, discrepancies exist as to which vertebral level can be used to calculate sarcopenia which can effectively serve as a prognostic tool. Thus, we aim to investigate the difference in sarcopenia calculated at the Thoracic and Lumbar vertebral levels.

methodsAn online literature search was conducted on Electronic databases such as PubMed, Cochrane CENTRAL, and Google scholar. Meta-analysis was performed by using Revman 5.3 software.

resultsA total of 14 articles were selected for meta-analysis. The prevalence of sarcopenia calculated at the Thoracic level was 31% (95%CI 24%-37%; p < 0.00001; I

Indexed as

COVID-19SarcopeniaHumansPatientsPrevalencePrognosisCOVID-19Lumbar levelMortalitySarcopeniaSevere illnessThoracic level

Identifiers

PMID37344057
PMCPMC10159940
OpenAlexW4372318404

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.