Evidence map›Paper›PMID 33480857›Full record

Observational studyJMIR public health and surveillance2021

Assessment of Strategies and Epidemiological Characteristics of Tuberculosis in Henan Province, China: Observational Study.

Hui Jiang, Guolong Zhang, Jinfeng Yin, Dongyang Zhao, Fangchao Liu, Yuxia Yao, Chao Cai, Jiying Xu, Xinwei Li, Wangli Xu and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 47% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Hui JiangBeijing Chest Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-8393-8368
Guolong ZhangInstitute of Tuberculosis Control and Prevention, Henan Center for Disease Control and Prevention, Henan, China.ORCID 0000-0003-3330-9760
Jinfeng YinBeijing Chest Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-2315-0936
Dongyang ZhaoInstitute of Tuberculosis Control and Prevention, Henan Center for Disease Control and Prevention, Henan, China.ORCID 0000-0003-2165-2983
Fangchao LiuBeijing Chest Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-5610-4621
Yuxia YaoInstitute of Tuberculosis Control and Prevention, Henan Center for Disease Control and Prevention, Henan, China.ORCID 0000-0002-2107-2404
Chao CaiBeijing Youan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-2365-7078
Jiying XuInstitute of Tuberculosis Control and Prevention, Henan Center for Disease Control and Prevention, Henan, China.ORCID 0000-0001-8159-5664
Xinwei LiSchool of Statistics, Renmin University of China, Beijing, China.ORCID 0000-0003-2801-1564
Wangli XuSchool of Statistics, Renmin University of China, Beijing, China.ORCID 0000-0003-4983-9950
Weimin LiBeijing Chest Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-2796-9009
Capital Medical University · CNHenan Provincial Center for Disease Control and Prevention · CNRenmin University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2005, China established an internet-based Tuberculosis Information Management System (TBIMS) to monitor changes in tuberculosis (TB). Many scholars have conducted epidemiological research using TBIMS; however, few studies assessing control strategies have been performed based on this platform data. Henan province is a high TB incidence area in China where, in addition to following the nationwide TB strategies, a series of local intervention combinations have been implemented.

objectiveOur study aims to evaluate the impact of nationwide TB intervention combinations on epidemiological changes and determine whether Henan province can achieve the World Health Organization's (WHO) goal of reducing TB incidence by 50% and TB mortality by 75% by the year 2025.

methodsWe used descriptive statistical methods to show the spatial and temporal distribution of pulmonary tuberculosis (PTB) reported to the TBIMS database from 2005 to 2018, and logistic regression analysis was performed to identify the risk factors of bacteriological-positive TB. The dynamic compartmental model and Bayesian melding approach was adopted to estimate the burden of TB under the impact of different TB control policies.

resultsIn total, 976,526 PTB cases were notified to the TBIMS in Henan in a period of 14 years. Although the overall incidence of PTB declined from 91.4/10

conclusionsTo achieve the targeted goal, while improving the cure rate of TB, new active (rather than passive) detection and intervention strategies should be formulated based on epidemiological characteristics in Henan province.

Indexed as

AdolescentAdultBayes TheoremBiomedical ResearchChildChild, PreschoolChinaFemaleHumansIncidenceInfantInfant, NewbornInformation ManagementMaleMiddle AgedTuberculosisdynamic compartmental modelepidemiological characteristicsnotified pulmonary tuberculosispolicy evaluationTuberculosis Information Management System

Identifiers

PMID33480857
PMCPMC7864773
OpenAlexW3112777435

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.