Evidence mapPaperPMID 38048156Full record

Trial reportJournal of medical Internet research2023

Efficacy of a WeChat-Based Multimodal Digital Transformation Management Model in New-Onset Mild to Moderate Hypertension: Randomized Clinical Trial.

Yijun Wang, Fuding Guo, Jun Wang, Zeyan Li, Wuping Tan, Mengjie Xie, Xiaomeng Yang, Shoupeng Duan, Lingpeng Song, Siyi Cheng and 8 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% of its field
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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  7. A multi-layer retrieval-augmented large language model framework for enhancing hypertension education.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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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

18 authors at 2 institutions in 1 country.

Yijun Wang *Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0009-0009-1051-1916
Fuding Guo *Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0001-8862-4333
Jun Wang *Department of Cardiology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.ORCID 0000-0002-7863-0331
Zeyan Li *Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0009-0001-6161-2233
Wuping Tan *Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-0454-1632
Mengjie XieDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-4415-8267
Xiaomeng YangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0002-4689-9301
Shoupeng DuanDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0009-0008-5281-4619
Lingpeng SongDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0009-0008-4704-5392
Siyi ChengDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0009-0009-1234-3290
Zhihao LiuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0001-9481-2605
Hengyang LiuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0009-0003-7557-1350
Jiaming QiaoDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-0582-0238
Yueyi WangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0002-5188-8359
Liping ZhouDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0002-0022-8334
Xiaoya ZhouDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0002-6946-7122
Hong JiangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-2895-3295
Lilei YuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0001-9229-2829
Wuhan University · CNFirst Affiliated Hospital of Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe advantages of multimodal digitally transformed mobile health management for patients diagnosed with mild to moderate hypertension are not yet established.

objectiveWe aim to evaluate the therapeutic benefits of a novel WeChat-based multimodal digital transforming management model in mobile health blood pressure (BP) management.

methodsThis randomized controlled clinical trial included 175 individuals with new-onset mild to moderate hypertension who were admitted to our center between September and October 2022. The patients were randomly assigned to either the multimodal intervention group (n=88) or the usual care group (n=87). The primary composite outcome was home and office BP differences after 6 months. The major secondary outcomes were 6-month quality-of-life scores, including the self-rating anxiety scale, self-rating depression scale, and Pittsburgh Sleep Quality Index.

resultsThe mean home BP decreased from 151.74 (SD 8.02)/94.22 (SD 9.32) to 126.19 (SD 8.45)/82.28 (SD 9.26) mm Hg in the multimodal intervention group and from 150.78 (SD 7.87)/91.53 (SD 9.78) to 133.48 (SD 10.86)/84.45 (SD 9.19) mm Hg in the usual care group, with a mean difference in systolic blood pressure and diastolic blood pressure of -8.25 mm Hg (95% CI -11.71 to -4.78 mm Hg; P<.001) and -4.85 mm Hg (95% CI -8.41 to -1.30 mm Hg; P=.008), respectively. The mean office BP decreased from 153.64 (SD 8.39)/93.56 (SD 8.45) to 127.81 (SD 8.04)/ 82.16 (SD 8.06) mm Hg in the multimodal intervention group and from 151.48 (SD 7.14)/(91.31 (SD 9.61) to 134.92 (SD 10.11)/85.09 (SD 8.26) mm Hg in the usual care group, with a mean difference in systolic blood pressure and diastolic blood pressure of -9.27 mm Hg (95% CI -12.62 to -5.91 mm Hg; P<.001) and -5.18 mm Hg (95% CI -8.47 to -1.89 mm Hg; P=.002), respectively. From baseline to 6 months, home BP control <140/90 mm Hg was achieved in 64 (72.7%) patients in the multimodal intervention group and 46 (52.9%) patients in the usual care group (P=.007). Meanwhile, home BP control <130/80 mm Hg was achieved in 32 (36.4%) patients in the multimodal intervention group and 16 (18.4%) patients in the usual care group (P=.008). After 6 months, there were significant differences in the quality-of-life total and graded scores, including self-rating anxiety scale scores (P=.04), self-rating depression scale scores (P=.03), and Pittsburgh Sleep Quality Index scores (P<.001), in the multimodal intervention group compared with the usual care group.

conclusionsThe WeChat-based multimodal intervention model improved the BP control rates and lowered the BP levels more than the usual care approach. The multimodal digital transforming management model for hypertension represents an emerging medical practice that utilizes the individual's various risk factor profiles for primary care and personalized therapy decision-making in patients with hypertension.

trial registrationChinese Clinical Trial Registry ChiCTR2200063550; https://www.chictr.org.cn/showproj.html?proj=175816.

Indexed as

Digital HealthHypertensionMobile ApplicationsAsian PeopleBlood PressureHospitalizationHumansQuality of Lifeapplicationsappsblood pressurecontrolled trialsdigital health caredigital transformationhypertensionmHealthmobile healthmobile phonemultimodalprecisionprecision medicineself-managementsocial mediaWeChat

Identifiers

PMID38048156
PMCPMC10728790
OpenAlexW4389305230

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.