Evidence map›Paper›PMID 31571982›Full record

ArticleCancer management and research2019

Adverse effect of laparoscopic radical hysterectomy depends on tumor size in patients with cervical cancer.

Ting Wen Yi Hu, Xiu Ming, Hao Zheng Yan, Zheng Yu Li

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Ting Wen Yi HuDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.ORCID 0000-0002-6347-1374
Xiu MingDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.ORCID 0000-0002-5542-6207
Hao Zheng YanDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.ORCID 0000-0002-1301-7181
Zheng Yu LiDepartment of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.ORCID 0000-0003-2076-211X
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study aimed to explore the survival outcomes of early-stage cervical cancer (CC) patients treated with laparoscopic/abdominal radical hysterectomy (LRH/ARH). PATIENTS AND

methodsWe performed a retrospective analysis involving women who had undergone LRH/ARH for CC in early stage during the 2013-2015 period in West China Second University Hospital. The survival outcomes and potential prognostic factors were evaluated using Kaplan-Meier method and Cox regression analysis, respectively.

resultsA total of 678 patients were included in our analysis. The overall survival (OS) and progression-free survival (PFS) between the ARH (n=423) and LRH (n=255) groups achieved no significant differences (

conclusionLRH was an alternative to ARH for surgical treatment of CC patients with a tumor diameter ≤4 cm. However, for the patients with a tumor diameter >4 cm, priority should be given to ARH.

Indexed as

cervical cancerhysterectomylaparoscopyprognosis

Identifiers

PMID31571982
PMCPMC6748160
OpenAlexW2971967788

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.