Evidence map›Paper›PMID 42807476›Full record

SynthesisFrontiers in nutrition2026

Effects of time-restricted eating on metabolic panel and sleep profile in patients with type 2 diabetes: a meta-analysis.

He Li, Zijiao Xue, Gao Wong, Lingli Hou

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 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

4 authors.

He LiDepartment of Neurosurgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Zijiao XueDepartment of Rehabilitation Medicine, Affiliated Hospital of North China University of Science and Technology, Tangshan, Hebei, China.
Gao WongDepartment of Rehabilitation Medicine, Affiliated Hospital of North China University of Science and Technology, Tangshan, Hebei, China.
Lingli HouDepartment of Clinical Laboratory, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Time-restricted eating (TRE), a novel dietary approach for the management of type 2 diabetes mellitus (T2DM), has been shown to affect the metabolic panel. Accordingly, this study aimed to evaluate the efficacy of the TRE on glycemic control, lipid profiles, anthropometric measurements, metabolic markers, and sleep-related outcomes in patients with T2DM. Methods: A systematic search was conducted in PubMed, Embase, Web of Science, and the Cochrane Library from inception up to May 2026. A random-effects model was used, and effect sizes are reported with 95% confidence intervals (CIs). Because of substantial heterogeneity, pooled estimates are presented as hypothesis-generating rather than confirmatory. Results: Thirteen studies ( Conclusion: TRE may offer a straightforward dietary approach that could have some benefits for glycemic control (HbA1c) and central adiposity (WC) in individuals with T2DM. However, due to substantial statistical heterogeneity, small sample sizes, the fragility of pooled estimates, and low-to-moderate GRADE certainty, the current evidence does not support a definitive clinical recommendation. For all other outcomes-weight, lipids, blood pressure, sleep, dietary composition, no consistent or robust evidence of an effect was found. High-quality, long-term RCTs are needed before firm conclusions can be drawn.

Indexed as

meta-analysismetabolic panelsystematic reviewtime-restricted eatingtype 2 diabetes

Identifiers

PMID42807476
PMCPMC13617046

What OpenQuestion holds

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Registered trials

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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.