Evidence map›Paper›PMID 41725748›Full record

ArticleFrontiers in public health2026

Construction and validation of a risk prediction model for oral frailty in rural hypertensive patients.

Nina Feng, Yanzhen Tian, Shiji Zhang, Qiong Xiang, Shiyi Wei, Zhen Zhang, Jiajia Chen

Abstract readValidation Study
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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

7 authors.

Nina FengZhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, China.
Yanzhen TianZhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, China.
Shiji ZhangZhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University, Zhuzhou, China.
Qiong XiangMedical College of Jishou University, Jishou, China.
Shiyi WeiMedical College of Jishou University, Jishou, China.
Zhen ZhangMedical College of Jishou University, Jishou, China.
Jiajia ChenMedical College of Jishou University, Jishou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the influencing factors of oral frailty in rural hypertensive patients in Zhuzhou City, Hunan Province, and construct a risk prediction model. Methods: A randomized sampling method was employed to investigate 538 older adults hypertensive patients in a rural area of Zhuzhou City, Hunan Province, using general data questionnaires, the Oral Hypertension Index-8 (OHI-8), and the EAT-10 scale. Among them, 377 cases were assigned to the modeling group, with internal validation conducted through 1,000 repeated Bootstrap sampling. An independent external validation group of 161 cases was also established. Results: The incidence of oral frailty in rural older adults hypertensive patients was 61.5%. Logistic regression analysis showed that age, education level, living alone, polypharmacy, smoking, dysphagia, xerostomia, and co-morbidities were influencing factors for oral frailty in rural older adults hypertensive patients ( Conclusion: The incidence of oral frailty is high in rural older adults hypertensive patients. Its influencing factors include age, education, living alone, polypharmacy, smoking, dysphagia, xerostomia, and comorbidities. The oral frailty risk prediction model constructed based on these influencing factors has high predictive and discriminative power and can be used as a screening tool for the risk of oral frailty in rural older adults hypertensive patients.

Indexed as

Frail ElderlyFrailtyHypertensionRural PopulationAgedAged, 80 and overChinaComorbidityFemaleHumansLogistic ModelsMaleMiddle AgedPolypharmacyPrediction AlgorithmsRisk Assessmenthypertensionold peopleoral frailtyrisk predictionrural areas

Identifiers

PMID41725748
PMCPMC12919338

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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.