Evidence map›Paper›PMID 40316762›Full record

ArticleNPJ digital medicine2025

Systematic evaluation of patient-reported outcomes in clinical trials of digital health in cardiovascular diseases.

Qianying Wang, Xiqian Huo, Jianlan Cui, Jie Li, Xueke Bai, Chaoqun Wu, Qian Zhang, Dianjianyi Sun, Jie Zhao

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors.

Qianying Wang *National Science Library, Chinese Academy of Sciences, Beijing, PR China.
Xiqian Huo *National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China. huoxiqian@fuwai.com.
Jianlan CuiNational Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
Jie LiNational Science Library, Chinese Academy of Sciences, Beijing, PR China.
Xueke BaiNational Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
Chaoqun WuNational Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
Qian ZhangFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
Dianjianyi SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, PR China. dsun1@bjmu.edu.cn.
Jie ZhaoFuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China. fwzhaojie@126.com.

Funding

Fundamental Research Funds for the Central Universities 3332024025National Key Research and Development Program of China 2023YFC2509400
6 · The paper itself

Abstract

The integration of patient-reported outcomes (PROs) in digital health (DH) trials for cardiovascular diseases (CVDs) remains unknown. We searched ClinicalTrials.gov for randomized trials that tested DH interventions in CVDs from 2004 to 2024. The search identified 8037 trials, with 673 eligible trials included in the analysis. Among these, 321 trials (48%) incorporated PROs. The number of DH trials and the use of PROs have shown a significant upward trend. Phone-based interventions predominated (38%), mostly targeting hypertension (38%) and heart failure (27%). Behavioral interventions showed higher prevalence of PROs' usage (1.24 [1.04-1.48]), while trials for diagnostic or screening purpose (0.39 [0.20-0.77]) utilized PROs less frequently. Only 15% of trials reported results on ClinicalTrials.gov, while 58% were published in PubMed after completion. Despite DH trial expansion, PRO integration remains insufficient, especially in trials where clinical and patient perspectives are important in informing treatment decisions. Timely results dissemination is critical to improving transparency.

Identifiers

PMID40316762
PMCPMC12048614

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.