Evidence map›Paper›PMID 36093085›Full record

ArticleFrontiers in endocrinology2022

Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach.

Liling Deng, Puguang Xie, Yan Chen, Shunli Rui, Cheng Yang, Bo Deng, Min Wang, David G Armstrong, Yu Ma, Wuquan Deng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Personalized prediction of diabetic foot ulcer recurrence in elderly individuals using machine learning paradigms.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Article
  7. Article
  8. Review
  9. 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

10 authors at 2 institutions in 2 countries.

Liling DengDepartment of Endocrinology and School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Puguang XieDepartment of Endocrinology and School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Yan ChenDepartment of Endocrinology and School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Shunli RuiDepartment of Endocrinology and School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Cheng YangDepartment of Endocrinology and School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Bo DengDepartment of Endocrinology and School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Min WangDepartment of Endocrinology and School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
David G ArmstrongDepartment of Surgery, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States.
Yu MaDepartment of Endocrinology and School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Wuquan DengDepartment of Endocrinology and School of Medicine, Chongqing University Central Hospital, Chongqing University, Chongqing, China.
Chongqing University · CNUniversity of Southern California · US

Funding

Improving the science of adherence reinforcement and safe mobility in people with diabetic foot ulcers using smart offloadingR01DK124789 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARMSTRONG, DAVID GEORGE, NAJAFI, BIJAN · 2021 to 2025
$2.0M
NIDDK NIH HHS R01 DK124789
6 · The paper itself

Abstract

Objective: The outcome of DFUs concomitant with HCE remains unknown. This study aimed to investigate mortality rates and identify risk factors of mortality in patients with DFUs-HCE. Methods: 27 inpatients with DFUs-HCE were retrospectively enrolled in a cohort design, they were compared to 93 inpatients with DFUs in a city designated emergency center, between January 2016 and January 2021. After a 6-year followed-up, clinical characteristic, amputation and survival rates were compared. Extreme gradient boosting was further used to explore the relative importance of HCE and other risk factors to all-cause mortality in DFUs. Results: Patients with DFUs-HCE were more likely to havedementia, acute kidney injury and septic shock, whereas DFUs were more likely to have diabetic peripheral neuropathy and ulcer recurrence (P<0.05). No significant difference was observed on the amputation rate and diabetes duration. Both Kaplan-Meier curves and adjusted Cox proportional model revealed that DFUs-HCE was associated with a higher mortality compared with DFUs (P<0.05). HCE significantly increased the risk of mortality in patients with DFUs (hazard ratio, 1.941; 95% CI 1.018-3.700; P = 0.044) and was independent from other confounding factors (age, sex, diabetes duration, Wagner grades and Charlson Comorbidity Index). The XGBoost model also revealed that HCE was one of the most important risk factors associated with all-cause mortality in patients with DFUs. Conclusions: DFUs-HCE had significantly lower immediate survival rates (first 1-6 month) than DFUs alone. HCE is an important risk factor for death in DFUs patients.

Indexed as

Diabetes MellitusDiabetic FootDiabetic NeuropathiesCohort StudiesHumansMachine LearningRetrospective Studiesdiabetic foot ulcerhyperglycemic crisis episodemachine learningmortality ratesrisk factors of mortality

Identifiers

PMID36093085
PMCPMC9452661
OpenAlexW4293220864

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.