Evidence map›Paper›PMID 33795303›Full record

ArticleBMJ open2021

Spatial clustering of drug-resistant tuberculosis in Hunan province, China: an ecological study.

Kefyalew Addis Alene, Zuhui Xu, Liqiong Bai, Hengzhong Yi, Yunhong Tan, Darren Gray, Kerri Viney, Archie Ca Clements

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  9. Spatial Distribution of Drug-ResistantPathogens (Basel, Switzerland) · 2023
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  11. Article
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  13. Article
  14. Spatiotemporal Patterns of Tuberculosis in Hunan Province, China.International journal of environmental research and public health · 2021
    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

8 authors.

Kefyalew Addis AleneFaculty of Health Sciences, Curtin University, Bentley, Western Australia, Australia kefyalew.alene@telethonkids.org.au.ORCID 0000-0002-1904-4682
Zuhui XuDepartment of Tuberculosis Control, Tuberculosis Control Institute of Hunan Province, Changsha, Hunan, China.
Liqiong BaiDepartment of Director's Office, Hunan Tuberculosis Control Institute, Changsha, Hunan, China.
Hengzhong YiDepartment of MDR-TB, Internal Medicine, Hunan Chest Hospital, Changsha, China.
Yunhong TanDepartment of MDR-TB, Internal Medicine, Hunan Chest Hospital, Changsha, China.
Darren GrayResearch School of Population Health, Australian National University, Canberra, ACT, Australia.
Kerri VineyResearch School of Population Health, Australian National University, Canberra, ACT, Australia.
Archie Ca ClementsFaculty of Health Sciences, Curtin University, Bentley, Western Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to investigate the spatial distribution of drug-resistant tuberculosis (DR-TB) in Hunan province, China.

methodsAn ecological study was conducted using DR-TB data collected from the Tuberculosis Control Institute of Hunan Province between 2012 and 2018. Spatial clustering of DR-TB was explored using the Getis-Ord statistic. A Poisson regression model was fitted with a conditional autoregressive prior structure, and with posterior parameters estimated using a Bayesian Markov chain Monte Carlo simulation, to quantify associations with possible risk factors and identify clusters of high DR-TB risk.

resultsA total of 2649 DR-TB patients were reported to Hunan TB Control Institute between 2012 and 2018. The majority of the patients were male (74.8%, n=1983) and had a history of TB treatment (88.53%, n=2345). The proportion of extensively DR-TB among all DR-TB was 3.3% (95% CI 2.7% to 4.1%), which increased from 2.8% in 2012 to 4.4% in 2018. Of 1287 DR-TB patients with registered treatment outcomes, 434 (33.8%) were cured, 198 (15.3%) completed treatment, 92 (7.1%) died, 108 (8.3%) had treatment failure and 455 (35.3%) were lost to follow-up. Half (50.9%, n=655) had poor treatment outcomes. The annual cumulative incidence rate of notified DR-TB increased over time from 0.25 per 100 000 people in 2012 to 0.83 per 100 000 people in 2018. Substantial spatial heterogeneity was observed, and hotspots were detected in counties located in the North and East parts of Hunan province. The cumulative incidence of notified DR-TB was significantly associated with urban communities.

conclusionThe annual incidence of notified DR-TB increased over time in Hunan province. Spatial clustering of DR-TB was detected and significantly associated with urbanisation. This finding suggests that targeting interventions to the highest risk areas and population groups would be effective in reducing the burden and ongoing transmission of DR-TB.

Indexed as

Tuberculosis, Multidrug-ResistantBayes TheoremChinaCluster AnalysisFemaleHumansIncidenceMaleSpatial Analysisepidemiologypublic healthtuberculosis

Identifiers

PMID33795303
PMCPMC8021748

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.