Evidence map›Paper›PMID 31068913›Full record

ArticleFrontiers in microbiology2019

Identifying Gut Microbiota Associated With Colorectal Cancer Using a Zero-Inflated Lognormal Model.

Dongmei Ai, Hongfei Pan, Xiaoxin Li, Yingxin Gao, Gang Liu, Li C Xia

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
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  7. Effect of probioticWorld journal of gastroenterology · 2021
    Trial
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  9. Effects of anVeterinary sciences · 2026
    Article
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  12. Review
  13. Article
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  20. Characteristics of gut microbiota in high-methylated colorectal cancer.International journal of clinical oncology · 2025
    Article

46 more citing papers are in PubMed but not listed here.

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

6 authors.

Dongmei AiBasic Experimental of Natural Science, University of Science and Technology Beijing, Beijing, China.
Hongfei PanSchool of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China.
Xiaoxin LiSchool of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China.
Yingxin GaoSchool of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China.
Gang LiuSchool of Mathematics and Physics, University of Science and Technology Beijing, Beijing, China.
Li C XiaDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, United States.

Funding

Statistical Models for Genome Sequencing and AssociationR01HG006137 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JI, HANLEE P, ZHANG, NANCY R · 2011 to 2022
$4.3M
NHGRI NIH HHS R01 HG006137
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most common cancer worldwide. Its incidence is still increasing, and the mortality rate is high. New therapeutic and prognostic strategies are urgently needed. It became increasingly recognized that the gut microbiota composition differs significantly between healthy people and CRC patients. Thus, identifying the difference between gut microbiota of the healthy people and CRC patients is fundamental to understand these microbes' functional roles in the development of CRC. We studied the microbial community structure of a CRC metagenomic dataset of 156 patients and healthy controls, and analyzed the diversity, differentially abundant bacteria, and co-occurrence networks. We applied a modified zero-inflated lognormal (ZIL) model for estimating the relative abundance. We found that the abundance of genera:

Indexed as

association networkcolorectal cancergut microbiotamicrobial diversityzero-inflated lognormal model

Identifiers

PMID31068913
PMCPMC6491826

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.