- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 100
- Very Positive
- ConsistencyScore™
- unclear
- Not enough independent studies
Higher Fiber Intake Improves Glycemic Control in Type 2 Diabetes
Última actualización 22 de agosto de 2026
Key finding
Higher intake of total fiber was positively associated with better β-cell function (β = 1.694, P = 0.024).
This study analyzed the impact of dietary fiber intake on clinical outcomes in patients with Type 2 diabetes, revealing positive associations with various health metrics.
Quick read
Study at a glance
The essential study design details in one scan.
EvidenceScore™
Moderate
Study type
RCTs
Follow-up
Extended (5–20+ y)
Risk of bias
Some Concerns
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Plain-language summary
What this paper says
A plain-language read of the study’s main message and where it applies.
Study focus
This study analyzed the impact of dietary fiber intake on clinical outcomes in patients with Type 2 diabetes, revealing positive associations with various health metrics.
Clinical relevance
These findings highlight the importance of dietary choices in managing Type 2 diabetes. By increasing fiber intake, patients may improve their metabolic health and reduce complications associated with diabetes, making dietary fiber a crucial component of diabetes management strategies.
Keep in mind
The effectiveness of interventions remains unclear due to the observational nature of the analysis. Results may not be generalizable to all populations with Type 2 diabetes. Potential confounding factors were not fully controlled for in the analysis.
Published in
Referencia de la Revista
Publication details and source links for this paper.
Jia L, Yu A, Ning Y, Yuan X, Guang W. Dietary Fiber Intake and Clinical Outcomes in Patients with Type 2 Diabetes: A Secondary Analysis of the MARCH Trial. Nutrition & Diabetes. 2024;14:81. doi:10.1038/s41387-024-00340-z
Efectos Principales
Higher total fiber intake was positively associated with improved beta-cell function (effect size: 1.694, p=0.024).
Increased legume fiber intake correlated with better weight loss under metformin treatment (effect size: -0.052 kg, p=0.024).
A high-carbohydrate–low-fiber diet was linked to worse glycemic control under acarbose treatment (effect size: -0.059, p=0.028).
Evidence network
How this study fits
Understand where this research contributes within the broader evidence network.
Evidence Context
This study contributes evidence to Acarbose, Metformin and Beta-cell function, Carbohydrate-to-fiber ratio and glycemic control, Insulin sensitivity, and 3 more.
This study contributes evidence to
Primary intervention
Acarbose
Primary outcomes
- Beta-cell function
- Carbohydrate-to-fiber ratio and glycemic control
- Insulin sensitivity
Primary intervention
Evidence relationships
Intervention and outcome relationships this study adds to the evidence network.
Editorial context
Why this study matters
See why this paper is useful beyond its individual results.
Evidence network role
This section describes how the study fits into the current evidence network. It does not determine whether an intervention works on its own.
5
Related topics
6
Evidence pairs
901
Related studies
Why it is useful
- Contributes to 6 evidence relationships
- Includes primary outcome data
- Linked to 5 direct semantic evidence topics
Topic contributions
Evidence topic
Contributes evidence
Evidence topic
Contributes evidence
Evidence topic
Contributes evidence
Evidence topic
Contributes evidence
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Evidencia principal
Relación de evidencia
Alpha-glucosidase inhibitors and Insulin Resistance
Evidencia relacionada
Relación de evidencia
Metformin Therapies and Blood Pressure
Guardar evidencia
Relación de evidencia
Alpha-glucosidase inhibitors and Beta-cell Function
Guardar evidencia
Core evidence
Study findings
The primary outcomes reported in this study.
Carbohydrate-to-fiber ratio and glycemic control
Acarbose → Carbohydrate-to-fiber ratio and glycemic control
Acarbose → Carbohydrate-to-fiber ratio and glycemic control
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 100
- Very Positive
- ConsistencyScore™
- unclear
- Not enough independent studies
Postprandial glycemic response to a mixed meal
Acarbose → Postprandial glycemic response to a mixed meal
Acarbose → Postprandial glycemic response to a mixed meal
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 100
- Very Positive
- ConsistencyScore™
- unclear
- Not enough independent studies
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
Weight loss dependent effect on HbA1c
Metformin → Weight loss dependent effect on HbA1c
Metformin → Weight loss dependent effect on HbA1c
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 25
- Negative
- ConsistencyScore™
- unclear
- Not enough independent studies
Evidence Library
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La Evidencia Sugiere
- Total fiber intake improved insulin sensitivity (effect size: 2.988, p=0.006).
- Legume fiber intake was associated with better glycemic control under both acarbose and metformin.
- Higher whole grain fiber intake was linked to increased diastolic blood pressure under metformin treatment.
A quién se aplica
- Adults diagnosed with Type 2 diabetes.
- Patients undergoing treatment with acarbose or metformin.
Tener en Cuenta
- The study's findings are based on a secondary analysis and may not establish causation.
- Dietary fiber sources varied, and specific types may have different effects.
- Further research is needed to confirm these findings across diverse populations.
Entre Líneas
- The effectiveness of interventions remains unclear due to the observational nature of the analysis.
- Results may not be generalizable to all populations with Type 2 diabetes.
- Potential confounding factors were not fully controlled for in the analysis.
Evidence Library
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Connected Evidence
Explore related studies, evidence collections, and research questions.
Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on Metformin Therapies and Insulin Resistance, Alpha-glucosidase inhibitors and Beta-cell Function.
Relaciones de evidencia relacionadas
Explore in Evidence ExplorerThis study contributes to the evidence on the following intervention-outcome relationships.
Metformin Therapies → Insulin Resistance
Medications
- EvidenceScore™
- Moderate
- Score 69 · Based on 2 studies
- ImpactScore™
- 75
- Positive
- ConsistencyScore™
- 35
- mixed
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 100
- Very Positive
- ConsistencyScore™
- unclear
- Not enough independent studies
Metformin Therapies → Blood Pressure
Medications
- EvidenceScore™
- Emerging
- Score 59 · Based on 1 study
- ImpactScore™
- 50
- Neutral
- ConsistencyScore™
- unclear
- Not enough independent studies
Incluido en estas colecciones de evidencia
Curated evidence collections and hubs this study is part of.
Insulin Resistance Evidence Hub
All studies measuring Insulin Resistance
Measures Insulin Resistance as a key outcome.
Metformin Therapies Evidence Hub
All studies on Metformin Therapies
Contributes to Metformin Therapies evidence base.
Alpha-glucosidase inhibitors Evidence Hub
All studies on Alpha-glucosidase inhibitors
Contributes to Alpha-glucosidase inhibitors evidence base.
Beta-cell Function Evidence Hub
All studies measuring Beta-cell Function
Measures Beta-cell Function as a key outcome.
Blood Pressure Evidence Hub
All studies measuring Blood Pressure
Measures Blood Pressure as a key outcome.
Explora más en Evidence Explorer
Jump to pre-filtered views in Evidence Explorer.
All studies on Metformin and Insulin sensitivity
2 results
All studies on Acarbose and Beta-cell function
1 results
All studies on Metformin
2 results
All studies on Acarbose
1 results
All studies measuring Insulin sensitivity
2 results
Questions answered by this study
Generated from the study's connected evidence using Evidence Intelligence™.
Does Alpha-glucosidase inhibitors improve insulin resistance?
Alpha-glucosidase inhibitors may improve Insulin Resistance.
ConsistencyScore™: Results are mixed and should be interpreted cautiously.
Ranked evidence signals
- 1
Insulin sensitivity
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is cautious because the available studies report mixed findings.
Limitations
- Population details are unavailable.
Does Metformin Therapies improve blood pressure?
Metformin Therapies may improve Blood Pressure.
ConsistencyScore™: Results are generally consistent across studies.
Ranked evidence signals
- 1
Diastolic blood pressure
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on 3 supporting studies with generally consistent results and a positive effect signal.
Limitations
- Population details are unavailable.
Does Alpha-glucosidase inhibitors improve beta-cell function?
Alpha-glucosidase inhibitors appears to improve Beta-cell Function.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
- 1
Beta-cell function
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
- Only one supporting study is available.
- Consistency cannot yet be determined.
- Population details are unavailable.
Does Acarbose improve postprandial glycemic response to a mixed meal?
Acarbose appears to improve Postprandial glycemic response to a mixed meal.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
- 1
Postprandial glycemic response to a mixed meal
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
- Only one supporting study is available.
- Consistency cannot yet be determined.
- Population details are unavailable.
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