Evidence map›Paper›PMID 38233790›Full record

ArticleBMC nephrology2024

Heterogeneity by age and gender in the association of kidney function with mortality among patients with diabetes - analysis of diabetes registry in Singapore.

Tazeen H Jafar, Loraine Liping Seng, Yeli Wang, Ching Wee Lim, Choong Meng Chan, Jia Liang Kwek, Thomas M Coffman, Yongjing Ping, Yong Mong Bee, John C Allen

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 4 institutions in 2 countries.

Tazeen H JafarProgram in Health Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore. tazeen.jafar@duke-nus.edu.sg.
Loraine Liping SengProgram in Health Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Yeli WangProgram in Health Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Ching Wee LimProgram in Health Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Choong Meng ChanDepartment of Renal Medicine, Singapore General Hospital, Singapore, Singapore.
Jia Liang KwekDepartment of Renal Medicine, Singapore General Hospital, Singapore, Singapore.
Thomas M CoffmanCardiovascular & Metabolic Disorders Programme, Duke-NUS Medical School, Singapore, Singapore.
Yongjing PingProgram in Health Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Yong Mong BeeDepartment of Endocrinology, Singapore General Hospital, Singapore, Singapore.
John C AllenCenter for Quantitative Medicine, Office of Clinical Sciences, Duke-NUS Medical School, Singapore, Singapore.
Duke-NUS Medical School · SGSingapore General Hospital · SGDuke University · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to explore the three-way interaction among age, gender, and kidney function on the risk of all-cause mortality and cardiovascular mortality among patients with type 2 diabetes (T2D).

methodsIn a retrospective cohort study, patients aged > 40 years with T2D with serum creatinine and urine albumin measured from 2013 to 2019 were included from a multi-institutional diabetes registry. The exposure was estimated glomerular filtration rate (eGFR), outcomes were all-cause mortality (primary outcome) and cardiovascular disease (CVD) mortality (secondary outcome). We applied multivariable cox proportional hazards regression analysis to compute the association between eGFR and mortality.

resultsA total of 36,556 patients were followed for up to 6 years during which 2492 (6.82%) died from all causes, and 690 (1.9%) died from CVD. We observed a significant three-way interaction (p = 0.021) among age (younger, < 65; older, ≥65 years), gender and eGFR for the risk of all-cause mortality. Using age- and gender-specific eGFR of 90 ml/min/1.73m

conclusionsIn this T2D population, younger women with reduced kidney function might be more susceptible to higher risks of all-cause mortality and CVD mortality than younger men.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2AgedCohort StudiesFemaleGlomerular Filtration RateHumansKidneyMaleRegistriesRetrospective StudiesRisk FactorsSingaporeAgeDeathDisparityEstimated glomerular filtration rateGender

Identifiers

PMID38233790
PMCPMC10795380
OpenAlexW4390940970

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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.