Evidence map›Paper›PMID 41640735›Full record

SynthesisFrontiers in nutrition2025

Comparative effects of different types of soy products on glycemic control and insulin sensitivity: a network meta-analysis of randomized controlled trials.

Qiuping Luo, Baoguo Kang, Lifu Lei, Hongjia Yan, Mengting Chen, Ting Peng, Yuanlian Ouyang, Hailan Sun, Suocheng Hui

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

9 authors.

Qiuping Luo *Department of Clinical Nutrition, Liangjiang Hospital of Chongqing Medical University, Chongqing, China.
Baoguo Kang *Department of Oncology, Liangjiang Hospital of Chongqing Medical University, Chongqing, China.
Lifu Lei *Department of Clinical Nutrition, The Second Affliated Hospital of Chongqing Medical University, Chongqing, China.
Hongjia YanDepartment of Clinical Nutrition, Liangjiang Hospital of Chongqing Medical University, Chongqing, China.
Mengting ChenDepartment of Clinical Nutrition, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.
Ting PengDepartment of Clinical Nutrition, Liangjiang Hospital of Chongqing Medical University, Chongqing, China.
Yuanlian OuyangDepartment of Clinical Nutrition, Liangjiang Hospital of Chongqing Medical University, Chongqing, China.
Hailan SunDepartment of Clinical Nutrition, Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Chongqing, China.
Suocheng HuiDepartment of Clinical Nutrition, Liangjiang Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Accumulating evidence has demonstrated the benefits of soy and its extracts on glycemic control and insulin sensitivity. We hypothesized that different soy components might exhibit differentiated blood glucose and insulin sensitivity regulation effects. The goal of this network meta-analysis of randomized clinical trials (RCTs) was to estimate and rank the relative effects of soy and its extracts on glycemic control and insulin sensitivity. Methods: We performed a strategic literature search of PubMed, Embase, and the Cochrane Library for relevant RCTs. Random-effects network meta-analyses, ranking analyses based on surface under the cumulative ranking curves (SUCRAs), and sensitivity analyses based on potential sources of heterogeneity were performed. We registered the study protocol at PROSPERO (no. CRD42022345831). Results: Sixty-one RCTs enrolling 4,744 participants were included in the quantitative analysis. In random-effects network meta-analyses. Whole soy was ranked as the best diet (SUCRA: 91.0%) regarding fasting glucose-lowering effects, with isolated isoflavones was ranked as second (SUCRA: 79.1%). For fasting insulin regulation, the best soy component choices was whole soy (SUCRA: 95.4%) and isolated isoflavones (SUCRA: 74.7%). For HOMA-IR regulation, the best soy component choices was whole soy (SUCRA: 83.4%) and Soy protein + isoflavones (SUCRA: 83.3%). No soy products showed significant effect on regulating glycated HbA1c. Conclusions: These findings highlight that different soy components exhibit distinct effects on regulating blood glucose and insulin sensitivity. In this network meta-analysis, whole soy and isolated isoflavones were identified as potentially superior choices for improving blood glucose control and insulin sensitivity compared with other soy products. Systematic review registration: http://www.crd.york.ac.uk/ PROERO, identifier CRD42022345831.

Indexed as

diabetesglycemic controlinsulin sensitivitynetwork meta-analysissoy

Identifiers

PMID41640735
PMCPMC12864099

What Socratic holds

Textmetadata
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 Socratic graph.