Evidence map›Paper›PMID 40519855›Full record

ArticleThe Lancet regional health. Western Pacific2025

Personalized information support for hypertension management: an open-label cluster randomized controlled trial in rural Anhui, China.

Xingrong Shen, Ruirui Cui, Nana Li, Xin Yang, Tongqing Xu, Shumin Zeng, Xuanhe Liu, Yuning Wang, Ying Li, Dongying Xiao and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Lancet regional health. Western Pacific, 2025. 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

17 authors.

Xingrong ShenSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Ruirui CuiSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Nana LiSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Xin YangSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Tongqing XuSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Shumin ZengSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Xuanhe LiuSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Yuning WangSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Ying LiSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Dongying XiaoSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Xuewu ZhangJieshou People's Hospital, Jieshou, 236501, Anhui, China.
Rong LiuSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Tingting ZhangPopulation Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK.
Xiyan KongCenter for Information, Anhui Province Health Commission, Hefei Anhui, 230061, China.
Jing ChaiSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.
Dongxiao GuSchool of Management, Hefei University of Technology, Hefei Anhui, 230009, China.
Debin WangSchool of Health Services Management, Anhui Medical University, Hefei Anhui, 230032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lack of personalized hypertension management (PHM) is the main driver of low treatment and control rates of blood pressure (BP). Digital intervention has great potential in realizing PHM. Methods: This two-arm cluster randomized controlled trial aimed at assessing the added value of personalized information for leveraging commonly recognized objective behaviors facilitated by pragmatic digital applications. Implemented in Jieshou of Anhui Province, China, the intervention lasted for 12 months starting from August 2021. The primary outcome measure was systolic BP (SBP); and the secondary measures, diastolic BP (DBP), BP control rate, quality adjusted of life years (QALYs), deaths of and admissions for all-causes and hypertension complications and behavior scores. These measures were analyzed using mainly generalized linear mixed modeling controlled for clustering with or without imputation. Findings: The trial recruited 2392 patients at a response rate of 96.84%. At 12-month follow-up, the intervention group demonstrated (via intent-to treat analysis) superior SBP, -5.60 mmHg (95% CI: -8.10, -3.09; Interpretation: The study provides evidence to support the use of the personalized information support in controlling hypertension and its complications. The next step is an implementation strategy to incorporate the intervention into daily practice and realize its benefits. Funding: The trial was supported by National Natural Science Foundation of China (No. 72004002) and Scientific Research Foundation of Education Department of Anhui Province of China (No. KJ2021A0259).

Indexed as

ChinaDigital interventionHypertensionPersonalizedPrimary careRandomized controlled trial

Identifiers

PMID40519855
PMCPMC12163997

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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.