Digital Decision Support for Perioperative Care of Patients With Type 2 Diabetes: A Call to Action.

Jianwen Cai, Peiyi Li, Weimin Li, Xuechao Hao, Sheyu Li, Tao Zhu

Abstract read

In one paragraph

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

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jianwen Cai *Department of Anesthesiology, West China Hospital of Sichuan University, No. 17 Section 3 Renmin South Road, Chengdu, 610000, China, 86 18681357952.ORCID http://orcid.org/0009-0000-6496-9636

Peiyi Li *Department of Anesthesiology, West China Hospital of Sichuan University, No. 17 Section 3 Renmin South Road, Chengdu, 610000, China, 86 18681357952.ORCID http://orcid.org/0000-0002-2380-2562

Weimin LiDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0003-0985-0311

Xuechao HaoDepartment of Anesthesiology, West China Hospital of Sichuan University, No. 17 Section 3 Renmin South Road, Chengdu, 610000, China, 86 18681357952.ORCID http://orcid.org/0000-0002-8312-7060

Sheyu LiDepartment of Endocrinology and Metabolism and Department of Guideline and Rapid Recommendation, Cochrane China Center, MAGIC China Center, Chinese Evidence-Based Medicine Center, West China Hospital of Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0003-0060-0287

Tao ZhuDepartment of Anesthesiology, West China Hospital of Sichuan University, No. 17 Section 3 Renmin South Road, Chengdu, 610000, China, 86 18681357952.ORCID http://orcid.org/0000-0001-9196-1736

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: Type 2 diabetes mellitus affects over 500 million people globally, with 10%-20% requiring surgery. Patients with diabetes are at increased risk for perioperative complications, including prolonged hospital stays and higher mortality, primarily due to perioperative hyperglycemia. Managing blood glucose during the perioperative period is challenging, and conventional monitoring is often inadequate to detect rapid fluctuations. Clinical decision support systems (CDSS) are emerging tools to improve perioperative diabetes management by providing real-time glucose data and medication recommendations. This viewpoint examines the role of CDSS in perioperative diabetes care, highlighting their benefits and limitations. CDSS can help manage blood glucose more effectively, preventing both hyperglycemia and hypoglycemia. However, technical and integration challenges, along with clinician acceptance, remain significant barriers.

Indexed as

artificial intelligenceclinical decision support systemsperioperative diabetes

Identifiers

PMID40198903

DOI10.2196/70475

PMCPMC11999379

What Socratic 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 Socratic graph.