Evidence map›Paper›PMID 42317998›Full record

ArticleFrontiers in public health2026

Temporal trends and disparities in mortality among US adults with chronic kidney disease and comorbid depression: a population-based analysis, 1999-2023.

Pengcheng Zhao, Libo Yang, Fang Wu, Yingan Li, Yun He

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. 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
–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

0 citing papers in PubMed.

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

5 authors.

Pengcheng Zhao *Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, Sichuan, China.
Libo Yang *Department of Pediatric General Surgery, West China Second Hospital, Sichuan University, Chengdu, Sichuan, China.
Fang WuDepartment of Pediatric General Surgery, West China Second Hospital, Sichuan University, Chengdu, Sichuan, China.
Yingan LiDepartment of Pediatric General Surgery, West China Second Hospital, Sichuan University, Chengdu, Sichuan, China.
Yun HeDepartment of Pediatric General Surgery, West China Second Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease (CKD) and depression frequently co-occur, yet population-level mortality trends for their joint occurrence are poorly characterized. Methods: Using the CDC WONDER multiple-cause-of-death database, we examined annual age-adjusted mortality rates (AAMR) per 100,000 population among U.S. adults aged ≥ 25 years with CKD and co-occurring depression from 1999 to 2023. Joinpoint regression was employed to estimate annual percent change (APC) and average annual percent change (AAPC). Trends were stratified by sex, age, race, census region, and urban-rural residence. A Poisson log-linear model tested trend heterogeneity between CKD overall and CKD with depression during 2016-2021. Results: 11,076 deaths were attributed to CKD with co-occurring depression. Overall AAMR increased from 0.12 to 0.22 per 100,000 (AAPC, 2.32%; 95% CI, -3.48 to 8.47%). Joinpoint analysis identified a critical inflection point in 2015, after which mortality surged at an APC of 9.89% (95% CI, 6.39 to 13.50%; Conclusion: Mortality among CKD with co-occurring depression has accelerated sharply since 2015, diverging markedly from the plateauing trend of CKD overall. Routine depression screening integration into nephrology care is urgently warranted, especially for high-risk populations.

Indexed as

DepressionHealth Status DisparitiesMortalityRenal Insufficiency, ChronicAdultAgedAged, 80 and overComorbidityFemaleHumansMaleMiddle AgedUnited StatesCDC WONDERchronic kidney diseasedepressionhealth disparitiesmortality trends

Identifiers

PMID42317998
PMCPMC13272087

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.