Evidence map›Paper›PMID 38351264›Full record

ArticleScientific reports2024

Neutrophil-to-lymphocyte ratio is associated with sarcopenia risk in overweight maintenance hemodialysis patients.

Huibin Nie, Yan Liu, Xiaoyan Zeng, Min Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 1 institution in 1 country.

Huibin NieDepartment of Nephrology, Chengdu First People's Hospital, Integrated TCM and Western Medicine Hospital Affiliated to Chengdu University of TCM, No. 18 Wanxiang North Street, Chengdu, 610095, Sichuan, China.
Yan LiuDepartment of Clinical Nutrition, Chengdu First People's Hospital, Integrated TCM and Western Medicine Hospital Affiliated to Chengdu University of TCM, No. 18 Wanxiang North Street, Chengdu, 610095, Sichuan, China.
Xiaoyan ZengDepartment of Nephrology, Chengdu First People's Hospital, Integrated TCM and Western Medicine Hospital Affiliated to Chengdu University of TCM, No. 18 Wanxiang North Street, Chengdu, 610095, Sichuan, China.
Min ChenDepartment of Nephrology, Chengdu First People's Hospital, Integrated TCM and Western Medicine Hospital Affiliated to Chengdu University of TCM, No. 18 Wanxiang North Street, Chengdu, 610095, Sichuan, China. huanxingchenmin@163.com.
Chengdu University · CN

Funding

the Health Commission of Chengdu city 2022409the High-Tech Medical Association of Chengdu city 202302
6 · The paper itself

Abstract

Neutrophil-to-lymphocyte ratio (NLR), a novel inflammatory marker, is strongly associated with the risk of sarcopenia. Notably, being overweight has been found to accelerate the loss of skeletal muscle mass and function in chronic kidney disease (CKD) patients. However, the effect of overweight status on the relationship between NLR and sarcopenia risk has been poorly studied. We conducted a cross-sectional study at a hemodialysis center in Chengdu, China, from September to December 2022. The prevalence of sarcopenia was determined according to the Asian Working Group for Sarcopenia (AWGS). Participants were stratified based on body mass index (BMI) categories for the Asian population (non-overweight < 23 kg/m

Indexed as

SarcopeniaCross-Sectional StudiesFemaleHand StrengthHumansLymphocytesMaleNeutrophilsOverweightPrevalenceRenal Dialysis

Identifiers

PMID38351264
PMCPMC10864262
OpenAlexW4391819639

What OpenQuestion 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 OpenQuestion graph.