Evidence map›Paper›PMID 41787331›Full record

ArticleBMC infectious diseases2026

Analysis of factors influencing patient delay in tuberculosis patients in Northeast China: surveillance data from 2015 to 2024.

Yuchen Gao, Jingxiao Li, Jiying Ma, Zihui Yu, Xiaohui Ren, Siwei Chao, Nan Wang, Jie Liu, Yu Wang

Abstract read
In one paragraph

Article in BMC infectious diseases, 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

9 authors.

Yuchen Gao *Department of Epidemiology and Health Statistics, Shenyang Medical College, Shenyang, Liaoning, China.
Jingxiao Li *Department of Epidemiology and Health Statistics, Shenyang Medical College, Shenyang, Liaoning, China.
Jiying MaShenyang Shenbei New District Center for Disease Control and Prevention (Shenyang Shenbei New District Health and Wellness Supervision Office), Shenyang, Liaoning, China.
Zihui YuDepartment of Epidemiology and Health Statistics, Shenyang Medical College, Shenyang, Liaoning, China.
Xiaohui RenDepartment of Epidemiology and Health Statistics, Shenyang Medical College, Shenyang, Liaoning, China.
Siwei ChaoDepartment of Epidemiology and Health Statistics, Shenyang Medical College, Shenyang, Liaoning, China.
Nan WangSchool of Public Heath, Shenyang Medical College, 146 North Huanghe Street, Shenyang City, Liaoning Province, 110034, China.
Jie LiuTuberculosis Prevention and Control Department, Shenyang Centre for Disease Control and Prevention (Shenyang Health Supervision Institute), No. 88 Langming Street, Hunnan District, Shenyang City, Liaoning Province, China. 670741531@qq.com.
Yu WangSchool of Public Heath, Shenyang Medical College, 146 North Huanghe Street, Shenyang City, Liaoning Province, 110034, China. 18940116917@163.com.

Funding

The Joint Science and Technology Program of Liaoning Province, China 2024011384-JH2/1026
6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains a serious challenge to China’s public health, and timely detection and diagnosis of play key roles in preventing disease spread and deterioration. The aim of this study was to understand the delay in consultation for TB patients in Shenyang City, Liaoning Province, and to determine the factors that influence this delay.

methodsDelay in consultation was analysed retrospectively in Shenyang City, Liaoning Province. Basic information on TB patients from January 1, 2015, to December 31, 2024, was extracted from the China Tuberculosis Information Management System (TBIMS). The median and interquartile spacing were used for statistical description, and the chi-square test and binary logistic regression model were used to analyse the influencing factors.

resultsA total of 38,928 TB patients were included. The median duration of delay in consultation was 18 (6,36) days, and 22,051 (56.65%) patients experienced a delay in consultation, with an increasing trend in the rate of delay in consultation in Shenyang City from 2015 to 2024 (χ2 = 2235.857, P < 0.001). The study revealed that women (OR = 1.185, 95% CI: 1.130 − 1.243), patients aged ≥ 60 years old (OR = 1.218, 95% CI: 1.018 ~ 1.458), patients from ethnic minorities (OR = 1.409, 95% CI: 1.252 − 1.585), and patients who were positive for pathology (OR = 1.296, 95% CI: 1.194 − 1.407) had a greater risk of delay. Among the population categories, farmers had a greater risk of delayed visits. Intracity mobility (OR = 0.573, 95% CI: 0.540 − 0.608) and patient origin as a Physical examination (OR = 0.468, 95% CI: 0.276 − 0.794) were protective factors for visit delay.

conclusionThe rate of delayed visits for TB in Shenyang City from 2015 to 2024 generally increased, and delayed visits were more common. Intervention strategies should be implemented for risk factors and key populations to reduce patients’ suffering and economic losses. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Delayed DiagnosisTuberculosisAdolescentAdultAgedChinaFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk FactorsTreatment DelayYoung AdultDelayInfluencing factorsLogistic regressionTuberculosis

Identifiers

PMID41787331
PMCPMC13072462

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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.