Evidence map›Paper›PMID 39661254›Full record

SynthesisInternational urology and nephrology2025

Obesity measurement methods estimated mortality risk in patients undergoing hemodialysis: a systematic review and meta-analysis.

Henni Kusuma, Huan-Fang Lee, Miaofen Yen, Susan Jane Fetzer, Le Trinh Lam

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in International urology and nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Henni KusumaDepartment of Nursing, College of Medicine, National Cheng Kung University, No. 1 University Road, Tainan City, 701401, Taiwan.ORCID http://orcid.org/0000-0002-9760-7858
Huan-Fang LeeDepartment of Nursing, College of Medicine, National Cheng Kung University, No. 1 University Road, Tainan City, 701401, Taiwan. eamonn0330@gmail.com.ORCID http://orcid.org/0000-0002-1276-4409
Miaofen YenDepartment of Nursing, College of Medicine, National Cheng Kung University, No. 1 University Road, Tainan City, 701401, Taiwan.ORCID http://orcid.org/0000-0001-8111-0591
Susan Jane FetzerDepartment of Nursing, College of Medicine, National Cheng Kung University, No. 1 University Road, Tainan City, 701401, Taiwan.ORCID http://orcid.org/0000-0003-2311-5313
Le Trinh LamDepartment of Nursing, College of Medicine, National Cheng Kung University, No. 1 University Road, Tainan City, 701401, Taiwan.ORCID http://orcid.org/0000-0003-0740-6858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe impact of obesity on mortality risk in patients undergoing hemodialysis (HD) remains uncertain due to conflicting findings across obesity measurement methods. This study aimed to assess the obesity measurements influence mortality risk in HD populations.

methodsSystematic review and meta-analysis were conducted following PRISMA guidelines, registered on PROSPERO (CRD42023429943). Relevant observational studies analyzing mortality risk using obesity measurements in adult HD patients up to March 27, 2023 were included from multiple databases, including EMBASE, MEDLINE (OVID), and CINAHL (EBSCO). Pooled analyses with a random-effects model were performed using RevMan 5.4.

resultsTwenty-three studies involving 381,580 subjects were reviewed. A meta-analysis of 15 studies in event-based analysis showed contrasting results between anthropometry and body composition analysis in predicting all-cause mortality. Obese patients indicated by body mass index (BMI) had a lower mortality risk than non-obese patients (RR = 0.73, 95% CI: 0.70-0.76, p < 0.001). In contrast, abdominal obesity measured by waist circumference (WC) or waist-to-hip ratio (WHR) increased mortality risk (RR = 1.35, 95% CI: 1.01-1.80, p = 0.04). Studies using bioelectrical impedance analysis (BIA) demonstrated an increased mortality risk for obese patients (RR = 1.22, 95% CI: 1.05-1.41, p = 0.009).

conclusionsObese patients undergoing HD exhibit different mortality risks depending on the methods of obesity measurement. The observed 'obesity paradox' in patients on HD, where lower mortality is seen with obesity measured by BMI, may reflect BMI's limitations in differentiating fat mass. More studies with other anthropometry and body composition analysis are needed to clarify this phenomenon.

Indexed as

Kidney Failure, ChronicObesityRenal DialysisBody Mass IndexHumansRisk AssessmentWaist-Hip RatioHemodialysisMeta-analysisMortalityObesity measurementSystematic review

Identifiers

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.