Evidence map›Paper›PMID 36406461›Full record

ReviewFrontiers in microbiology2022

Clinicopathological differences of high

Yi Wang, Yuting Wen, Jiayin Wang, Xin Lai, Ying Xu, Xuanping Zhang, Xiaoyan Zhu, Chenglin Ruan, Yao Huang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Gut microbes · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. American journal of cancer research · 2024
    Review
  7. Article
  8. Cancers · 2023
    Review
  9. Article
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

9 authors at 3 institutions in 1 country.

Yi WangSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yuting WenSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jiayin WangSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xin LaiSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Ying XuSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xuanping ZhangSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xiaoyan ZhuSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Chenglin RuanSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yao HuangDepartment of Pathology, Xi'an Ninth Hospital Affiliated to Medical College of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xi'an Jiaotong University · CNSoochow University · CNWuxi Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To systematically evaluate the significance of Methods: Literature from Pubmed, Embase, and Web of Science was retrieved to collect all English literatures on the correlation between Fn and cancer, and the quality of literatures collected was assessed based on the Newcastle-Ottawa Quality Assessment Scale. The heterogeneity and sensitivity were detected by Stata 14.0 software, and the correlation between Fn and cancer clinicopathological as the effect variables was assessed according to the odds ratio (OR) and 95% confidence interval (CI). The forest plot was drawn. Results: A total of 19 articles meeting the inclusion criteria were selected. The incidence of Fn prevalence varied considerably (range: 6.1 to 83.3%) and was greater than 10% in 13 of 19 studies. Compared with those with no/low Fn levels, the high levels of Fn was positively associated with vascular invasion, nerve invasion, depth of invasion, and distant metastasis [vascular invasion: OR = 1.66, 95%CI(1.07, 2.57), Conclusion: This review and meta-analysis showed that Fn could be used to predict unfavorable prognosis and function as potential prognostic biomarkers in colorectal cancer (CRC). Our data may have implications for targeting Fn to develop strategies for cancer prevention and treatment.

Indexed as

cancercolorectal cancerFusobacterium nucleatummeta-analysisreview

Identifiers

PMID36406461
PMCPMC9672069
OpenAlexW4308202194

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.