Evidence map›Paper›PMID 35005252›Full record

ArticleOsteoporosis and sarcopenia2021

Prevalence and determinants of sarcopenia in Indian patients with chronic kidney disease stage 3 & 4.

Avinash Kumar Dubey, Jayaprakash Sahoo, Balasubramaniyan Vairappan, Sreejith Parameswaran, Priyamvada Ps

Open access · diamondAbstract read
In one paragraph

Article in Osteoporosis and sarcopenia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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  12. Uremic Sarcopenia.Indian journal of nephrology
    Review
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 1 institution in 1 country.

Avinash Kumar DubeyDepartment of Nephrology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, 605006, India.
Jayaprakash SahooDepartment of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, 605006, India.
Balasubramaniyan VairappanDepartment of Biochemistry, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, 605006, India.
Sreejith ParameswaranDepartment of Nephrology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, 605006, India.
Priyamvada PsDepartment of Nephrology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, 605006, India.
Jawaharlal Institute of Post Graduate Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThere is limited literature on the prevalence and determinants of sarcopenia in the Indian predialysis chronic kidney disease (CKD) population. The current study attempts to characterize sarcopenia in CKD stages 3 & 4 using 3-compartment model dual-energy X-ray absorptiometry (DXA).

methodsThis is secondary data from a randomized trial on bicarbonate supplementation for preserving muscle mass. A 3-compartment DXA was done to assess body composition in 188 subjects aged 18 to 65, with stable kidney function. Sarcopenia was defined by Asian Working Group criteria - appendicular skeletal mass index < 5.4 kg/m

resultsSarcopenia was present in 69.1% (n = 130). There was no difference in the prevalence of sarcopenia in CKD stage 3 (n = 62; 72.1%) vs CKD stage 4 (n = 68, 66.7%); P = 0.434. A lower body mass index (BMI) (OR 1.69; 95% CI 1.43, 2.01) and lower bicarbonate levels (OR 1.22; 95% CI 1.02, 1.47), and age (OR 0.95; 95% CI 0.91, 0.98) was independently associated with the muscle mass. A BMI cut-off of 18 failed to identify sarcopenia in 78.4% (n = 102) subjects (Kappa statistic 0.396). The receiver operating characteristic curve for mid-arm muscle circumference for identifying sarcopenia was 0.651 (95% CI 0.561, 0.740).

conclusionsSarcopenia is highly prevalent in CKD 3 and 4. Sarcopenic individuals are older, with a low BMI and lower bicarbonate levels. The anthropometric parameters and biochemical parameters did not help identify sarcopenia in the predialysis population.

Indexed as

Body compositionChronic kidney diseaseDXADXA, Dual energy X-ray absorptiometryMuscle massPredialysis

Identifiers

PMID35005252
PMCPMC8714469
OpenAlexW4200585579

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.