Evidence map›Paper›PMID 42538753›Full record

ArticleJournal of diabetes research2026

Ability of the DHAM Score to Predict 5-Year All-Cause Mortality in Patients With Diabetes and Comorbid Hypertension: Validation and Risk Stratification in Two Prospective Cohorts.

Yilu Liu, Yingxuan Zhu, Jiansong Yuan, Lili Liu, Dingyue Zhang, Rui Zhang, Shijie You, Yingdong Han, Hongzhao You, Shouling Wu and 1 more

Abstract readValidation Study
In one paragraph

Article in Journal of diabetes research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Yilu LiuFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, cacms.ac.cn.ORCID https://orcid.org/0009-0008-9439-638X
Yingxuan ZhuMedical Research and Biometrics Centre, National Centre for Cardiovascular Diseases, Beijing, China.
Jiansong YuanFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, cacms.ac.cn.ORCID https://orcid.org/0000-0002-5814-6059
Lili LiuFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, cacms.ac.cn.
Dingyue ZhangDepartment of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, pumch.cn.
Rui ZhangFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, cacms.ac.cn.
Shijie YouFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, cacms.ac.cn.
Yingdong HanDepartment of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, pumch.cn.
Hongzhao YouFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, cacms.ac.cn.
Shouling WuDepartment of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China, ncst.edu.cn.ORCID https://orcid.org/0000-0001-7095-6022
Weixian YangFuwai Hospital and National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, cacms.ac.cn.ORCID https://orcid.org/0009-0009-7352-022X

Funding

Beijing Association of Holistic Integrative Medicine ZHKY-2025-1869National Natural Science Foundation of China 82192902
6 · The paper itself

Abstract

objectiveIndividuals with both diabetes and hypertension face a heightened risk of all-cause death. We aimed to validate the DHAM score's performance in predicting 5-year overall mortality in two prospective cohorts.

methodsThe internal validation cohort comprised 3291 patients with diabetes and hypertension drawn from the 1999-2014 cycles of the National Health and Nutrition Examination Survey database. The external validation cohort comprised 2478 patients from the 2008-2015 China Kailuan cohort. The DHAM score was constructed from eight predictors (age, sex, education, marriage, smoking, cardiovascular disease, serum albumin, and urea nitrogen). Renal dysfunction was determined by an estimated glomerular filtration rate < 60 mL/min/1.73 m

resultsThe C-index was 0.758 (95% CI: 0.743-0.833) in the NHANES database and 0.741 (95% CI: 0.731-0.790) in the Kailuan cohort. A DHAM score > 148 independently predicted 5-year all-cause death in NHANES (adjusted-HR 10.03, 95% CI: 3.37-18.83, p < 0.001); after recalibration, a score > 152 independently predicted mortality in Kailuan (adjusted-HR 9.24, 95% CI: 4.71-16.84, p < 0.001). The patients were further stratified by DHAM score and renal function into three risk groups. Intermediate- and high-risk categories showed higher 5-year all-cause death rates than low-risk categories across both cohorts (log-rank p < 0.001).

conclusionThe DHAM score had a robust prognostic value for 5-year all-cause death among individuals with both diabetes and hypertension. Higher DHAM score combined with renal dysfunction could identify patients at highest risk of all-cause death.

trial registrationChinese Registry of Clinical Trials: ChiCTR2000029767.

Indexed as

Diabetes MellitusHypertensionAdultAgedCause of DeathChinaComorbidityFemaleGlomerular Filtration RateHumansMaleMiddle AgedNutrition SurveysPrognosisProspective StudiesRisk Assessmentall-cause mortalitycohort studydiabeteshypertensionprediction model

Identifiers

PMID42538753
PMCPMC13428178

What Socratic 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 Socratic graph.