Evidence map›Paper›PMID 34523948›Full record

Trial reportMicrobiology spectrum2021

Gut Microbiota Serves a Predictable Outcome of Short-Term Low-Carbohydrate Diet (LCD) Intervention for Patients with Obesity.

Susu Zhang, Peili Wu, Ye Tian, Bingdong Liu, Liujing Huang, Zhihong Liu, Nie Lin, Ningning Xu, Yuting Ruan, Zhen Zhang and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Microbiology spectrum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
–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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Impacts of Lifestyle and Microbiota-Targeted Interventions for Overweight and Obesity on the Human Gut Microbiome: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
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  15. Fecal Microbiota Transplantation Activity ofFoods (Basel, Switzerland) · 2024
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  18. Direct and Indirect Evidence of Effects ofInternational journal of molecular sciences · 2023
    Review
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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

16 authors.

Susu Zhang *Department of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Peili Wu *Department of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Ye Tian *Department of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Bingdong Liu *State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Liujing HuangState Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Zhihong LiuState Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
Nie LinDepartment of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Ningning XuDepartment of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Yuting RuanDepartment of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Zhen ZhangDepartment of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Ming WangNephrology Center of Integrated Traditional Chinese and Western Medicine, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Zongbing CuiState Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, China.
HongWei ZhouState Key Laboratory of Organ Failure Research, Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Liwei XieDepartment of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.ORCID 0000-0002-4747-1753
Hong ChenDepartment of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.
Jia SunDepartment of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical Universitygrid.284723.8, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, much progress has been made in dietary therapy for obese patients. A low-carbohydrate diet (LCD) has reached a revival in its clinical use during the past decade with undefined mechanisms and debatable efficacy. The gut microbiota has been suggested to promote energy harvesting. Here, we propose that the gut microbiota contributes to the inconsistent outcome under an LCD. To test this hypothesis, patients with obesity or patients who were overweight were randomly assigned to a normal diet (ND) or an LCD group with

Indexed as

AdultBacteroidetesBody WeightDiet, Carbohydrate-RestrictedFemaleGastrointestinal MicrobiomeHumansMaleMiddle AgedObesityPorphyromonasRuminococcusWeight LossWeight Reduction ProgramsYoung Adultartificial neural networkBacteroidaceae Bacteroidesgut microbiotalow-carbohydrate dietsobesityweight loss

Identifiers

PMID34523948
PMCPMC8557869

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.