Evidence map›Paper›PMID 41507835›Full record

ArticleBMC geriatrics2026

Transforming vacant rural school buildings into age-friendly facilities under China's aging and low-fertility context: a natural language processing-based evaluation framework.

Quan Wen, Mazran Ismail, Muhammad Hafeez Abdul Nasir

Abstract read
In one paragraph

Article in BMC geriatrics, 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

3 authors.

Quan WenSchool of Art and Design, Henan Industry and Trade Vocational College, Zhengzhou, 450000, China. wenquan@student.usm.my.
Mazran IsmailSchool of Housing, Building and Planning, Universiti Sains Malaysia (USM), Gelugor, Penang, 11800, Malaysia. mazran@usm.my.
Muhammad Hafeez Abdul NasirSchool of Housing, Building and Planning, Universiti Sains Malaysia (USM), Gelugor, Penang, 11800, Malaysia.

Funding

Henan Provincial Federation of Social Sciences and Henan Provincial Federation of Economic Associations, China, SKL2022608
6 · The paper itself

Abstract

backgroundChina's aging population and declining birth rates create urgent demand for elderly care infrastructure. Rural areas face dual challenges: over 100,000 vacant schools from declining enrollment and elderly care facilities meeting less than 30% of demand. This study develops and validates a comprehensive framework for assessing rural school-to-elderly care facility conversion feasibility.

methodsAn integrated computational-expert consensus framework was developed combining natural language processing with expert validation. SciBERT extracted candidate indicators from 89 academic articles, 25 policy documents, and 31 stakeholder interviews. Fifteen multidisciplinary experts validated indicators through two-round Fuzzy Delphi process using triangular fuzzy numbers. Consensus was assessed using Kendall's coefficient of concordance with 80% acceptance threshold.

resultsThe model achieved F1-score of 0.85, precision of 0.87, and recall of 0.83. Expert validation yielded high consensus (Kendall's W=0.781, p<0.001), producing 17 validated indicators across four dimensions: building conditions, functional conversion, environmental renovation, and socioeconomic factors. Policy support emerged as most critical (weight=0.0792), followed by resource utilization and catering function (both 0.0669). All indicators achieved consensus rates of 80-100%.

conclusionsThis validated framework integrates computational objectivity with expert knowledge for evaluating rural school conversion feasibility. It provides practical guidance for policymakers and developers to address rural elderly care shortages through sustainable infrastructure adaptation, applicable to aging societies globally.

Indexed as

AgingFacility Design and ConstructionRural PopulationSchoolsChinaDelphi TechniqueHumansElderly careEvaluation frameworkFuzzy Delphi methodPopulation agingRural ChinaSchool building repurposing

Identifiers

PMID41507835
PMCPMC12882156

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LicenceCC BY-NC-ND
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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.