Evidence map›Paper›PMID 39920056›Full record

Observational studyBMJ open2025

Analysis of epidemiological trends and risk factors in high-risk areas for pulmonary tuberculosis: an observational longitudinal study in Xinjiang, China.

Salawati Haritebieke, Yaoqin Lu, Di Wu, Guangchao Liu, Yanling Zheng, Liping Zhang

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

6 authors.

Salawati Haritebieke *Institute of Medical Engineering and Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang, China.
Yaoqin Lu *Center for Disease Control and Prevention, Urumqi, Xinjiang, China.
Di Wu *Xinjiang Medical University, Urumqi, Xinjiang, China.
Guangchao LiuXinjiang Medical University, Urumqi, Xinjiang, China.
Yanling ZhengInstitute of Medical Engineering and Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang, China.
Liping ZhangInstitute of Medical Engineering and Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, Xinjiang, China zhanglp1219@163.com.ORCID http://orcid.org/0000-0002-1508-9066

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the spatial and temporal variations in the long-term risk of developing tuberculosis (TB) and the factors influencing it in order to contribute to the goal of eradicating TB.

designObservational longitudinal study.

settingXinjiang, China, 2005-2019. PRIMARY AND SECONDARY OUTCOME MEASURES: Comparison of TB incidence across age, period, cohort and space using socioeconomic (including gross domestic product per capita, population density, public budget revenue and total retail sales of consumer goods), public health (including the number of hospital beds, health technicians and basic medical insurance for urban residents) and environmental variables (PM2.5, mean air temperature, mean wind speed, mean relative humidity and precipitation). The relative importance of these variables to pulmonary TB (PTB) is revealed by the Q-value (0, 1), with larger values indicating that the spatial heterogeneity of the explanatory variables to PTB is more pronounced.

participantsAll clinically diagnosed and confirmed cases in Xinjiang, China, were collected. The descriptive analysis included confirmed cases from 2005 to 2019, while cases from various districts and counties between 2011 and 2019 were subjected to further analysis.

resultsFrom 2005 to 2019, a total of 642 332 cases of PTB were reported in Xinjiang, with an average annual incidence rate of 172/100 000. The age risk of PTB presented a bimodal distribution, namely 20-24 years and the elderly (>60 years). The high prevalence of PTB was distributed in the southern part of Xinjiang. Among the influencing factors that had a greater effect on the incidence of PTB, the lower GDP per capita (Q-value=0.65) had a largest effect on PTB in Xinjiang compared with others factors (higher PM2.5: Q-value=0.56, lower health personnel: Q-value=0.49, higher average temperature: Q-value=0.47 and higher urban residents' health insurance: Q-value=0.46). The main influencing factors were heterogeneous in different regions. Furthermore, the interactions among these factors enhanced the explanatory power regarding the incidence of the disease.

conclusionsIdentifying the high-risk groups, regions, influencing factors and interactions of PTB in Xinjiang, China, will expand the epidemiological knowledge of PTB in high-risk areas and potentially aid in designing targeted interventions.

Indexed as

Tuberculosis, PulmonaryAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansIncidenceInfantLongitudinal StudiesMaleMiddle AgedRisk FactorsSocioeconomic FactorsEPIDEMIOLOGYPREVENTIVE MEDICINEPUBLIC HEALTHRisk FactorsTuberculosis

Identifiers

PMID39920056
PMCPMC11808870

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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.