Evidence map›Paper›PMID 33736610›Full record

ArticleBMC infectious diseases2021

Delayed diagnosis of tuberculosis in patients with diabetes mellitus co-morbidity and its associated factors in Zhejiang Province, China.

Wenhui Xiao, Dajiang Huang, Saiqiong Li, Shangcheng Zhou, Xiaolin Wei, Bin Chen, Guanyang Zou

Abstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Advanced pulmonary tuberculosis in Alameda County: Ten-year incidence and risk factors.Journal of clinical tuberculosis and other mycobacterial diseases · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Article
  19. 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

7 authors.

Wenhui XiaoSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.
Dajiang HuangCenter for Disease Prevention and Control, Cangnan County, Wenzhou, Zhejiang Province, China.
Saiqiong LiCenter for Disease Prevention and Control, Yongjia County, Wenzhou, Zhejiang Province, China.
Shangcheng ZhouSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiaolin WeiDivision of Clinical Epidemiology & Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Bin ChenZhejiang Provincial Center for Disease Prevention and Control, Hangzhou, China. bchen@cdc.zj.cn.
Guanyang ZouSchool of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China. zgy1021@hotmail.com.

Funding

National Natural Science Foundation of China 71774049Zhejiang Provincial Science and Public Welfare Project LGF19H260004
6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains a significant global public health problem. China has the second highest TB burden in the world. With a growing TB population with diabetes mellitus (DM), the TB control system faces mounting challenges. To date, evidence remains inconclusive regarding the association between TB-DM co-morbidity and delayed diagnosis of TB patients. This study aims to assess the diagnostic delay of TB patients with known DM and identify the factors associated with this delay.

methodsData was collected from China's Tuberculosis information management system in two counties of Zhejiang province, China. Patient delay, health system delay and total diagnostic delay are defined as follows: 1) the interval between the onset of TB symptoms and first visit to any health facility; 2) from the first visit to the health facility to the confirmed TB diagnosis in the designated hospital; 3) the sum of patient and health system's respective delays. Comparison of these delays was made between TB patients with and without DM using Mann-Whitney U test and Chi-square test. Univariate and multivariate regression analysis was used to identify factors influencing delays among TB patients with DM.

resultsOf 969 TB patients, 67 (7%) TB patients had DM co-morbidity. Compared with TB patients without DM, TB patients with DM experienced significantly shorter health system delays (p < 0.05), and there was a significantly lower proportion of patients whose health system delayed> 14 days (7.0% vs. 18%, p < 0.05). However, no significant difference was observed between both patient categories regarding patient delay and total diagnostic delay. The multivariate regression analysis suggested that TB patients with DM who were aged < 60 years (AOR = 3.424, 95%CI: 1.008-11.627, p < 0.05) and non-severe cases (AOR = 9.725, 95%CI: 2.582-36.626, p < 0.05) were more likely to have a total diagnostic delay of> 14 days.

conclusionsOur study suggests that DM does not contribute to further diagnostic delay as expected. Instead, we observed significantly improved health system delay among TB patients with DM. The findings indicate the importance of early screening and diagnosis for TB among diabetic patients and of strengthening the integrated control and management of TB and diabetic programs.

Indexed as

ComorbidityDelayed DiagnosisAdultAgedChinaChi-Square DistributionDiabetes MellitusFemaleHealth FacilitiesHospitalsHumansMaleMiddle AgedMorbidityRetrospective StudiesTuberculosisCo-morbidityDelayDiabetes mellitusTuberculosis

Identifiers

PMID33736610
PMCPMC7977257

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.