Evidence map›Paper›PMID 41076634›Full record

ArticleJournal of diabetes investigation2025

Development of a diagnostic model of insulin-related lipohypertrophy for patients with diabetes mellitus.

Xiaohui Li, Yuhua Wei, Dandan Sun, Hongmei Xu, Chun Mu, Di Bao, Yingying Li, Qiuling Xing

Abstract read
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In one paragraph

Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaohui LiKey Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Yuhua WeiNHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Dandan SunNHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Hongmei XuNHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Chun MuNHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Di BaoNHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Yingying LiNHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Qiuling XingNHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0003-0137-0540

Funding

Tianjin Health Commission TJYXZDXK-3-007BTianjin Nursing Association tjhlky20180109
6 · The paper itself

Abstract

aimsTo develop a diagnostic model of insulin-related lipohypertrophy for patients with diabetes mellitus. MATERIALS AND

methodsA cross-sectional study was performed. Between December 2021 and November 2022, a total of 395 diabetic patients treated with insulin were enrolled from a tertiary hospital in Tianjin, China. Demographic and clinical factors were collected, and patients were assessed for lipohypertrophy by ultrasound scanning. The rate of lipohypertrophy was investigated, and a nomogram was developed based on a logistic regression model. SPSS 26.0 and R Studio 2022.12.0+353 3.6.3 were used to analyze the data.

results89.6% (354/395) patients were identified with lipohypertrophy. In this study, 693 lipohypertrophy sites in lipohypertrophy patients and 91.5% (634/693) lipohypertrophy were distributed at the abdomen. Self-injection, duration of insulin injection, and incorrect rotation were selected as predictors to develop a lipohypertrophy diagnosed diagnostic nomogram model of lipohypertrophy in diabetic patients treated with insulin. The accuracy, calibration, and clinical applicability of the model are good; thus, it fits well.

conclusionsA nomogram including three easily available factors (self-injection, duration of insulin injection, and incorrect rotation) was developed, and it can be used in diabetes management among diabetes patients treated with insulin.

Indexed as

Diabetes MellitusHypoglycemic AgentsInsulinNomogramsAdultAgedChinaCross-Sectional StudiesFemaleHumansHypertrophyMaleMiddle AgedPrognosisUltrasonographyHypoglycemic AgentsInsulinLipohypetrophyNomogramUltrasound scanning

Identifiers

PMID41076634
PMCPMC12679162

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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.