Evidence map›Paper›PMID 35068934›Full record

ArticleInfection and drug resistance2022

Association of TyG Index with CT Features in Patients with Tuberculosis and Diabetes Mellitus.

Yong Chen, Anzhou Peng, Yiqing Chen, Xianghua Kong, Linyang Li, Guangxiao Tang, Huifen Li, Yu Chen, Fan Jiang, Peibo Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2022. 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
0.7field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 7 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 2 institutions in 1 country.

Yong Chen *Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China.ORCID 0000-0003-4269-8518
Anzhou Peng *Department of the Fifth Tuberculosis, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Yiqing ChenDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China.
Xianghua KongDepartment of the Fifth Tuberculosis, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Linyang LiDepartment of the Fifth Tuberculosis, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Guangxiao TangDepartment of Radiology, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Huifen LiDepartment of the Fifth Tuberculosis, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Yu ChenDepartment of Medical Record Statistics Room, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Fan JiangDepartment of the Fifth Tuberculosis, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Peibo LiDepartment of Physician Assistant, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Qiu ZhangDepartment of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China.
Chongqing Public Health Medical Center · CNAnhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to investigate the association of the triglyceride glucose (TyG) index, a surrogate marker of insulin resistance (IR) with a high sensitivity of 96.5% and a specificity of 85.0% for the diagnosis of IR, with computed tomography (CT) features in patients with tuberculosis and diabetes mellitus.

methodsA total of 247 subjects were enrolled from July, 2020 to May, 2021. The basic clinical features and CT features were analyzed. In addition, multivariate logistic regression analysis models were employed to evaluate the association of the TyG indicator with CT features in participants.

resultsIn the quartile groups of TyG index, air bronchial sign detection rate was 11.7%, 14.5%, 23.2%, and 44.1%; large segmented leafy shadow detection rate was 27.9%, 40.6%, 46.4%, and 66.2%; thick-walled cavity was found in 38.2%, 43.4%, 57.9%, and 69.1%; the rate of multiple cavities was 17.6%, 27.5%, 36.2%, 52.9%; the rate of lymph node enlargement was 22.1%, 17.4%, 28.9%, and 38.2%, respectively. In addition, the positive relation with the TyG index and the prevalence of abnormal CT signs was observed in the fully adjusted model: TyG, per one-unit increase: air bronchial sign: adjusted odds ratio (AOR) 3.92, 95% CI 1-15.35, P = 0.049; multiple cavities: AOR 4.1, 95% CI 1.26-13.31, P = 0.019; thick-walled cavity: AOR 2.89, 95% CI 1.05-8.03, P = 0.041. In quartile of TyG index, compared with patients in quartile 1, the AOR (95% CI) values for air bronchial sign in quartile 4 was 8.1 (1.7-44), p = 0.011; multiple cavities was 7.1 (1.7-32), p = 0.008; thick-walled cavity was 7.8 (1.9-34.7), p = 0.005.

conclusionThe present study showed that an increased TyG index was positively related to the severity of patients with T2DM-PTB.

Indexed as

CT featuresinsulin resistancepulmonary tuberculosisT2DMtriglyceride glucose index

Identifiers

PMID35068934
PMCPMC8767160
OpenAlexW4205790639

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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.