Evidence map›Paper›PMID 38079259›Full record

ArticleDiabetes care2024

Association of Body Weight Time in Target Range With the Risk of Kidney Outcomes in Patients With Overweight/Obesity and Type 2 Diabetes Mellitus.

Cheng Zu, Mengyi Liu, Xinyue Su, Yuanxiu Wei, Qiguo Meng, Chengzhang Liu, Ziliang Ye, Xiaoqin Gan, Yuanyuan Zhang, Panpan He and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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

13 authors.

Cheng ZuDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Mengyi LiuDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Xinyue SuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Yuanxiu WeiDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Qiguo MengDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Chengzhang LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Ziliang YeDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Xiaoqin GanDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Yuanyuan ZhangDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Panpan HeDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Chun ZhouDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Fan Fan HouDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Xianhui QinDivision of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.ORCID 0000-0001-7812-7982

Funding

Guangdong Provincial Clinical Research Center for Kidney Disease 2020B1111170013Key Technologies R&D Program of Guangdong Province 2023B1111030004National Key Research and Development Program of China 2022YFC2009600National Natural Science Foundation of China 81973133the Program of Introducing Talents of Discipline to Universities, 111 Plan D18005
6 · The paper itself

Abstract

objectiveWe assessed the relationship of body weight time in target range (TTR) with composite kidney outcome in people with overweight/obesity and type 2 diabetes mellitus (T2DM). RESEARCH DESIGN AND

methodsIncluded in this study were 3,601 participants with baseline estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2 from the Look AHEAD (Action for Health in Diabetes) trial. Body weight TTR was defined as the proportion of time during the first 4 years that body weight was within the weight loss target (a weight loss of ≥7% from baseline). The primary outcome was composite kidney outcome, defined as eGFR decline ≥30% from baseline and to a level <60 mL/min/1.73 m2 at follow-up visit, or end-stage kidney disease.

resultsDuring a median follow-up of 8.0 years, 435 cases of composite kidney outcome were documented. Body weight TTR during the first 4 years was inversely associated with the subsequent risk of composite kidney outcome (per SD increment; adjusted hazard ratio [HR] 0.81; 95% CI 0.70-0.93). Accordingly, the adjusted HRs (95% CI) of composite kidney outcome were 1.00 (reference), 0.73 (0.54-1.00), 0.71 (0.52-0.99), and 0.54 (0.36-0.80) for participants with body weight TTR of 0%, >0% to <29.9%, 29.9% to <69.7%, and 69.7% to <100%, respectively. Similar results were found for a doubling of the urine albumin to creatinine ratio (secondary outcome).

conclusionsA higher body weight TTR, with a weight loss target of losing ≥7% of initial weight, was associated with a lower risk of kidney outcomes in participants with overweight/obesity and T2DM.

Indexed as

Diabetes Mellitus, Type 2Glomerular Filtration RateHumansKidneyObesityOverweightWeight Loss

Identifiers

PMID38079259
PMCPMC13066459

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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.