Evidence map›Paper›PMID 37818069›Full record

ArticleAmerican journal of cancer research2023

Minimally invasive versus abdominal radical trachelectomy for early-stage cervical cancer: a systematic review and meta-analysis.

Ling Han, Yali Chen, Ai Zheng, Xin Tan, Hengxi Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Ling HanDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University No. 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan, China.
Yali ChenDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University No. 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan, China.
Ai ZhengDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University No. 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan, China.
Xin TanDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University No. 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan, China.
Hengxi ChenDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University No. 20, 3rd Section, South Renmin Road, Chengdu 610041, Sichuan, China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The safety of minimally invasive surgery (MIS) for cervical cancer has been questioned. This systematic review and meta-analysis aimed to compare the clinical outcomes of patients with cervical cancer who underwent MIS and abdominal trachelectomy. We searched for and subsequently analyzed studies published in PubMed, Embase, Cochrane Central Register of Controlled Trials, International Clinical Trials Registry Platform, and Clinical Trials.gov from their inception until April 10, 2023. Six studies with 1,079 participants were included, constituting 512 and 567 patients in the MIS and abdominal surgery groups, respectively. No significant difference was observed in the overall survival (hazard ratio [HR], 0.51; 95% confidence interval [CI], 0.16-1.65; I

Indexed as

cervical cancerfertilitylaparoscopicmeta-analysisminimally invasive surgeryTrachelectomy

Identifiers

PMID37818069
PMCPMC10560958
OpenAlexW4387516161

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.