Evidence map›Paper›PMID 38974951›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

CT Quantitation and Prediction of the Risk of Type 2 Diabetes Mellitus in Non-Obese Patients with Pancreatic Fatty Infiltration.

Yi Tang, Zemin Wei, Ning Li, Chao Jiang, Chen Liang, Lulu Sun, Lufeng Tian, Zhengyu Jin, Zhe Wu, Hao Sun

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. 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. Review
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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

10 authors.

Yi Tang *Department of Endocrinology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
Zemin Wei *Department of Endocrinology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.ORCID 0009-0002-2143-7773
Ning LiDepartment of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
Chao JiangDepartment of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
Chen LiangDepartment of Endocrinology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
Lulu SunDepartment of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
Lufeng TianDepartment of Internal Medicine, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.
Zhengyu JinDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Zhe Wu *Department of Radiology, Fushun Central Hospital, Fushun, Liaoning Province, People's Republic of China.ORCID 0000-0003-2135-6420
Hao Sun *Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To examine the risk of type 2 diabetes mellitus in non-obese patients with pancreatic fatty infiltration through abdominal computed tomography (CT) quantitation. Patients and Methods: We carried out a retrospective analysis of abdominal CT and inpatient medical records of 238 inpatients from July 2019 to April 2021. The patients were divided into a normal non-obese group (BMI < 25, n = 135) and diabetic non-obese group (BMI < 25, n = 103). Abdominal CT-related parameters included body width; mean CT values of the pancreas, liver, and spleen; difference between pancreas and spleen CT values (P-S); pancreas-to-spleen attenuation ratio (P/S); and liver-to-spleen attenuation ratio (L/S). Logistic regression was used to estimate the risk factors for comorbid diabetes in a non-obese population. Results: The P-values of the pancreas CT value, P-S, P/S, body width, and L/S were all <0.05 and correlated to comorbid diabetes in non-obese patients. Worsening pancreatic fatty infiltration increased the risk of developing diabetes. Using a P/S of 1.0 as reference, every successive decrease in this ratio by 0.1 increases patient risk by 3.981, 4.452, 6.037, and 12.937 times. Conclusion: The risk of developing type 2 diabetes mellitus in non-obese patients increases with the degree of pancreatic fatty infiltration as assessed by CT.

Indexed as

computed tomographynon-obese patientspancreatic fatty infiltrationtype 2 diabetes mellitus

Identifiers

PMID38974951
PMCPMC11226987

What Socratic holds

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Registered trials

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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 Socratic graph.