Evidence map›Paper›PMID 37836444›Full record

SynthesisNutrients2023

Ketogenic Diet and Multiple Health Outcomes: An Umbrella Review of Meta-Analysis.

Shiyun Chen, Xin Su, Yonghui Feng, Ruojie Li, Minqi Liao, Laina Fan, Jiazi Liu, Shasha Chen, Shiwen Zhang, Jun Cai and 5 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 8 pooled it
4.6field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 8 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

15 authors at 5 institutions in 3 countries.

Shiyun ChenDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Xin SuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Yonghui FengDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Ruojie LiDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Minqi LiaoInstitute of Epidemiology, Helmholtz Zentrum Munich-German Research Center for Environmental Health, Ingolstadt Landstr. 1, 85764 Neuherberg, Germany.
Laina FanDepartment of Clinical Medicine, International School, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Jiazi LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Shasha ChenDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Shiwen ZhangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Jun CaiDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Sui ZhuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Jianxiang NiuGeneral Surgery, The Affiliated Hospital of Inner Mongolia Medical University, No. 1 Tongdao North Road, Hohhot 010000, China.
Yanbin YeDepartment of Clinical Nutrition, The First Affiliated Hospital, Jinan University, Guangzhou 510630, China.
Kenneth LoDepartment of Food Science and Nutrition, The Hong Kong Polytechnic University, Kowloon, Hong Kong 100872, China.ORCID 0000-0003-4624-2737
Fangfang ZengDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China.
Jinan University · CNFirst Affiliated Hospital of Jinan University · CNHelmholtz Zentrum München · DEHong Kong Polytechnic University · HKInner Mongolia Medical University · CN

Funding

National Natural Science Foundation of China 81602853Natural Science Foundation of Guangdong Province - Youth Enhancement Project
6 · The paper itself

Abstract

Numerous studies have examined the effects of ketogenic diets (KD) on health-related outcomes through meta-analyses. However, the presence of biases may compromise the reliability of conclusions. Therefore, we conducted an umbrella review to collate and appraise the strength of evidence on the efficacy of KD interventions. We conducted a comprehensive search on PubMed, EMBASE, and the Cochrane Database until April 2023 to identify meta-analyses that investigated the treatment effects of KD for multiple health conditions, which yielded 23 meta-analyses for quantitative analyses. The evidence suggests that KD could increase the levels of low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C), the respiratory exchange rate (RER), and could decrease total testosterone and testosterone levels (all

Indexed as

Diet, KetogenicDrug Resistant EpilepsyChildCholesterol, LDLCross-Sectional StudiesHumansMeta-Analysis as TopicMultimorbidityReproducibility of ResultsSeizuresTestosteroneTreatment OutcomeCholesterol, LDLTestosteronecancerketogenic dietsmeta-analysisobesityoverweightseizure reductionumbrella review

Identifiers

PMID37836444
PMCPMC10574428
OpenAlexW4387105428

What Socratic holds

Textmetadata
LicenceCC BY
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.