Evidence mapPaperPMID 41578272Full record

ArticleBMC public health2026

Trends in renal failure-related mortality among adults in the United States: a national cross-sectional analysis (CDC database study 1999-2023).

Yong Ding, Chang Chen, Bingjie Yang, Kangkang Ding, He Wang

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yong Ding *Department of Urology, The Second People's Hospital of Hefei, Hefei Hospital, Anhui Medical University, Hefei, 230011, Anhui, China.
Chang Chen *Department of Urology, The Second People's Hospital of Hefei, Hefei Hospital, Anhui Medical University, Hefei, 230011, Anhui, China.
Bingjie YangDepartment of Urology, The Second People's Hospital of Hefei, Hefei Hospital, Anhui Medical University, Hefei, 230011, Anhui, China.
Kangkang DingDepartment of Urology, The Second People's Hospital of Hefei, Hefei Hospital, Anhui Medical University, Hefei, 230011, Anhui, China.
He WangDepartment of Urology, The Second People's Hospital of Hefei, Hefei Hospital, Anhui Medical University, Hefei, 230011, Anhui, China. wanghe2108@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal failure (RF) remains a major contributor to mortality in the United States, but how RF-related deaths have changed over time—and how those patterns differ across demographic and geographic groups—has not been well characterized. We used CDC WONDER multiple-cause-of-death data to examine RF-related mortality among U.S. adults aged ≥ 25 years from 1999 to 2023, defining RF as the underlying cause of death (ICD-10 N17–N19). We calculated age-adjusted mortality rates (AAMRs) per 100,000 and assessed temporal trends using joinpoint-derived average annual percent change (AAPC), overall and stratified by sex, age, race/ethnicity, U.S. census region, and urbanization. From 1999 to 2023, there were 1,138,750 RF-related deaths. Trends differed by region: the South consistently carried the highest burden and experienced the fastest increase in AAMR (AAPC = + 0.7605), whereas the Northeast showed a sustained decline (AAPC = − 0.5704). AAMRs were higher in females than in males throughout the study.

Indexed as

Renal InsufficiencyAdultAgedCause of DeathCross-Sectional StudiesDatabases, FactualFemaleHumansMaleMiddle AgedUnited StatesEpidemiologyMortalityRacial disparityRenal failureSex disparityTrends

Identifiers

PMID41578272
PMCPMC12911128

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.