Evidence mapPaperPMID 42117040Full record

ArticleOpen life sciences2026

Transforming hypoglycemia prediction in adult type 1 diabetes: a systematic review and meta-analysis for precision care.

Qiang Zhang, Haojie Zhou, Xiaoli Zhu, Ruonan Lin, Liping Hu, Guniqing Zhu

Abstract read
In one paragraph

Article in Open life sciences, 2026. 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.

Qiang ZhangSchool of Nursing, Dali University, Yunnan, China, 671000.
Haojie ZhouSchool of Nursing, Dali University, Yunnan, China, 671000.
Xiaoli ZhuDepartment of Endocrinology, The First Affiliated Hospital of Dali University, Yunnan, China, 671000.
Ruonan LinSchool of Nursing, Dali University, Yunnan, China, 671000.
Liping HuSchool of Nursing, Dali University, Yunnan, China, 671000.
Guniqing ZhuFirst Clinical Medical College, Southern Medical University, Guangdong, China, 510515.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes mellitus (T1DM) patients require lifelong insulin therapy; however, iatrogenic hypoglycemia remains a major clinical challenge, with high incidence in adults. This study evaluated the performance, methodological rigor, and clinical utility of hypoglycemia risk prediction models for adult T1DM patients to inform evidence-based risk management strategies. Following Cochrane framework and PRISMA guidelines, 18 studies were identified. Data extraction and bias assessment were conducted using the PROBAST tool. The mean area under the curve (AUC) across individual models was 0.85. Meta-analysis of AUC values revealed a pooled AUC of 0.88 (95 % CI: 0.88-0.89), indicating moderate-to-good predictive accuracy. Substantial heterogeneity was observed (

Indexed as

hypoglycemiamachine learning algorithmsmeta-analysispredictive modelssystematic reviewtype 1 diabetes

Identifiers

PMID42117040
PMCPMC13157319

What Socratic holds

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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 Socratic graph.