Evidence map›Paper›PMID 35538461›Full record

ArticleBMC surgery2022

Development and validation of a prediction model of perioperative hypoglycemia risk in patients with type 2 diabetes undergoing elective surgery.

Huiwu Han, Juan Lai, Cheng Yan, Xing Li, Shuoting Hu, Yan He, Hong Li

Open access · goldAbstract read
In one paragraph

Article in BMC surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
  6. Observational
  7. Artificial Intelligence to Diagnose Complications of Diabetes.Journal of diabetes science and technology · 2025
    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

7 authors at 2 institutions in 1 country.

Huiwu HanTeaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Changsha, Hunan, People's Republic of China.
Juan LaiTeaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Changsha, Hunan, People's Republic of China. 393769319@qq.com.
Cheng YanCardiovascular Medicine Department, Xiangya Hospital at Central South University, Changsha, Hunan, People's Republic of China.
Xing LiCardiovascular Medicine Department, Xiangya Hospital at Central South University, Changsha, Hunan, People's Republic of China.
Shuoting HuCardiovascular Medicine Department, Xiangya Hospital at Central South University, Changsha, Hunan, People's Republic of China.
Yan HeCardiovascular Medicine Department, Xiangya Hospital at Central South University, Changsha, Hunan, People's Republic of China.
Hong LiNursing Department, The People's Hospital of Liuyang, Hunan, People's Republic of China.
Xiangya Hospital Central South University · CNCentral South University · CN

Funding

Central South University Xiangya Hospital Management Research Fund 2019GL05Central South University Xiangya Hospital Management Research Fund 2019GL09Hunan Provincial Health Special Fund Scientific Research Project B2021-01National Social Science Fund 19BSH076Natural Science Foundation of Hunan Province 2021JJ70143
6 · The paper itself

Abstract

aimTo develop and validate a prediction model to evaluate the perioperative hypoglycemia risk in hospitalized type 2 diabetes mellitus (T2DM) patients undergoing elective surgery.

methodsWe retrospectively analyzed the electronic medical records of 1410 T2DM patients who had been hospitalized and undergone elective surgery. Regression analysis was used to develop a predictive model for perioperative hypoglycemia risk. The receiver operating characteristic (ROC) curve and the Hosmer-Lemeshow test were used to verify the model.

resultsOur study showed an incidence of 10.7% for level 1 hypoglycemia and 1.8% for level 2 severe hypoglycemia during the perioperative period. A perioperative hypoglycemic risk prediction model was developed that was mainly composed of four predictors: duration of diabetes ≥ 10 year, body mass index (BMI) < 18.5 kg/m

conclusionsThe perioperative hypoglycemic risk prediction model categorizes the risk of hypoglycemia using only four predictors and shows good reliability and validity. The model serves as a favorable tool for clinicians to predict hypoglycemic risk and guide future interventions to reduce hypoglycemia risk.

Indexed as

Diabetes Mellitus, Type 2HypoglycemiaHumansHypoglycemic AgentsReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsHypoglycemic AgentsElective surgeryHypoglycemiaPerioperative periodRisk prediction modelType 2 diabetes mellitus (T2DM)

Identifiers

PMID35538461
PMCPMC9092794
OpenAlexW4229457915

What OpenQuestion holds

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LicenceCC BY
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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.