Evidence map›Paper›PMID 30431586›Full record

SynthesisMedicine2018

High protein diet is of benefit for patients with type 2 diabetes: An updated meta-analysis.

Wen-Ting Zhao, Yu Luo, Ying Zhang, Yun Zhou, Ting-Ting Zhao

Erratum issuedOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 9% of its field
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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  6. Article
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  12. Is pea our hidden allergen? An American pediatric case series.The journal of allergy and clinical immunology. Global · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Wen-Ting ZhaoChangzhi Medical College, Changzhi, Shanxi.
Yu LuoSchool of Nursing, Army Medical University of Chinese PLA, Chongqing, Shapingba.
Ying ZhangChangzhi Medical College, Changzhi, Shanxi.
Yun ZhouChangzhi Medical College, Changzhi, Shanxi.
Ting-Ting ZhaoAffiliated Heping Hospital of Changzhi Medical College, Changzhi, Shanxi, China.
Changzhi Medical College · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, the prevalence of type 2 diabetes is still increasing worldwide and has become a major public health burden.This meta-analysis was performed to further assess high protein (HP) diet on body weight, glycemic control, and cardiovascular disease risk factors in type 2 diabetes.A literature search was conducted in PubMed and Embase databases up to June 2018. The pooled standard mean difference (SMD) and the corresponding 95% confidence interval (CI) were calculated using RevMan 5.3 software.In total, 18 randomized control trials involving 1099 adults with type 2 diabetes were included. Pooled results indicated that HP diet could not significantly affect blood pressure of patients with type 2 diabetes, compared with low protein (LP) diet. However, the overall analyses showed the significant effect of HP diet on triglycerides reduction (SMD = -0.20, 95% CI = -0.35 to -0.05, P = .01) in patients with type 2 diabetes, compared with LP diet. Subgroup analyses showed that the ratio of energy from fat and carbohydrate in diet could affect the effect of HP diet on weight and triglyceride.HP diet could be indicated to obtain beneficial results in weight loss and lipid metabolism.

Indexed as

Blood GlucoseBlood PressureDiabetes Mellitus, Type 2Diet, High-ProteinHumansLipidsRisk FactorsWeight LossBlood GlucoseLipids

Identifiers

PMID30431586
PMCPMC6257679
OpenAlexW2901401429

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.