Evidence map›Paper›PMID 37370020›Full record

ArticleBMC infectious diseases2023

Computed tomography findings in patients with pulmonary tuberculosis and diabetes at an infectious disease hospital in China: a retrospective cross-sectional study.

Qianwen Yang, Rongping Zhang, Yan Gao, Chaoxin Zhou, Weifang Kong, Wang Tao, Guojin Zhang, Lan Shang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2023. 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. Article
  2. Article
  3. Article
  4. 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.

Qianwen Yang *School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Rongping Zhang *Department of Radiology, The First People's Hospital of Liangshan Yi Autonomous Prefecture, Xichang, Sichuan, China.
Yan GaoDepartment of Radiology, The First People's Hospital of Liangshan Yi Autonomous Prefecture, Xichang, Sichuan, China.
Chaoxin ZhouDepartment of Radiology, The First People's Hospital of Liangshan Yi Autonomous Prefecture, Xichang, Sichuan, China.
Weifang KongDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Wang TaoDepartment of Radiology, The First People's Hospital of Liangshan Yi Autonomous Prefecture, Xichang, Sichuan, China.
Guojin ZhangDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. zhanggj15@lzu.edu.cn.
Lan ShangDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. shanglan8282@163.com.

Funding

Guojin Zhang No. 2022QN25Lan shang No. 21ZDY0069Lan Shang No. 2021-230Wang Tao No. 21ZDY0058
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the relationship between active pulmonary tuberculosis (TB) and type 2 diabetes mellitus (T2DM) by analysing the clinical features and computed tomography (CT) findings of patients with active pulmonary TB and comorbid T2DM (TB-DM) in the LiangShan Yi regions.

methodsWe collected data from 154 hospitalised patients with TB-DM initially confirmed at an infectious disease hospital in the Liangshan Yi Autonomous Prefecture between 1 and 2019, and 31 December 2021. These were matched by sex and age ± 3 years to 145 hospitalised patients with initially confirmed pulmonary TB without comorbid T2DM (TB-NDM) over the same period. The clinical characteristics of the two groups were analysed separately. Three group-blinded radiologists independently analysed the CT findings and classified them into mild-to-moderate and severe groups. Severe chest CT lesion refers to a lesion that is less diffused or moderately dense and either exceeds the total volume of one lung, a high-density fused lesion greater than one-third of the volume of one lung, or a cavitary lesion with a maximum diameter ≥ 4 cm.

resultsNo significant differences were observed in the presentation of clinical features. Regarding the severity of chest CT manifestation, patients with TB-DM had significantly more severe TB than those with TB-NDM (89.61% vs. 68.97%, P < 0.0001). Regarding CT findings, patients with TB-DM had higher proportions of consolidation (79.22% vs. 52.41%, P < 0.0001), cavitary lesions (85.06% vs. 59.31%, P < 0.0001), bronchiectasis (71.43% vs. 31.03%, P < 0.0001), exudative lesions (88.96% vs. 68.28%, P < 0.0001), and fibrous lesions (93.51% vs. 68.97%, P < 0.0001) than patients with TB-NDM. In conclusion, patients with TB-DM have more severe pulmonary TB CT findings than those without. There were no significant differences in the distribution of lesions in the lung lobes between TB-DM and TB-NDM patients.

conclusionsAmong patients hospitalised with pulmonary TB, those with T2DM had more severe findings on chest CT than those without T2DM. However, the clinical presentation was not significantly different.

Indexed as

Communicable DiseasesDiabetes Mellitus, Type 2TuberculosisTuberculosis, PulmonaryCross-Sectional StudiesHospitalsHumansRetrospective StudiesTomography, X-Ray ComputedChinaComputed tomographyInfectious diseaseTuberculosisType 2 diabetes mellitus

Identifiers

PMID37370020
PMCPMC10304231

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.