Evidence map›Paper›PMID 33883602›Full record

ArticleScientific reports2021

Prediction of sarcopenia using a battery of circulating biomarkers.

Rizwan Qaisar, Asima Karim, Tahir Muhammad, Islam Shah, Javaidullah Khan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
10.0field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 3 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
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  7. Calprotectin and Sarcopenia in COPD: Biomarker, Bystander or Target?Journal of cachexia, sarcopenia and muscle · 2026
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  16. State-of-the-art insights into myokines as biomarkers of sarcopenia: a literature review.International journal of physiology, pathophysiology and pharmacology · 2025
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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 5 institutions in 2 countries.

Rizwan QaisarBasic Medical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates. rqaisar@sharjah.ac.ae.ORCID 0000-0001-8485-7172
Asima KarimBasic Medical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Tahir MuhammadDepartmenr of Biochemistry, Gomal Medical College, Dera Ismail Khan, Pakistan.
Islam ShahDepartment of Cardiology, Al Qassimi Hospital, Sharjah, United Arab Emirates.
Javaidullah KhanDepartment of Cardiology, Post Graduate Medical Institute, Hayatabad Medical Complex, Peshawar, Pakistan.
Gomal University · PKHayatabad Medical Complex · PKOasis Hospital · AEUniversity of Health Sciences Lahore · PKUniversity of Sharjah · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loss of muscle mass and strength with aging, termed sarcopenia is accelerated in several comorbidities including chronic heart failure (CHF) and chronic obstructive pulmonary diseases (COPD). However, the effective circulating biomarkers to accurately diagnose and assess sarcopenia are not known. We recruited male healthy controls and patients with CHF and COPD (n = 81-87/group), aged 55-74 years. Sarcopenia was clinically identified based on hand-grip strength, appendicular skeletal muscle index and physical capacity as recommended by the European working group for sarcopenia. The serum levels of amino-terminal pro-peptide of type-III procollagen, c-terminal agrin fragment-22, osteonectin, irisin, fatty acid-binding protein-3 and macrophage migration inhibitory factor were significantly different between healthy controls and patients with CHF and COPD. Risk scores for individual biomarkers were calculated by logistic regressions and combined into a cumulative risk score. The median cutoff value of 3.86 was used to divide subjects into high- and low-risk groups for sarcopenia with the area under the curve of 0.793 (95% CI = 0.738-0.845, p < 0.001). A significantly higher incidence of clinical sarcopenia was found in high-risk group. Taken together, the battery of biomarkers can be an effective tool in the early diagnosis and assessment of sarcopenia.

Indexed as

AgedAgingBiomarkersHand StrengthHumansMiddle AgedMuscle, SkeletalPulmonary Disease, Chronic ObstructiveSarcopeniaBiomarkers

Identifiers

PMID33883602
PMCPMC8060253
OpenAlexW3154255881

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.