Evidence map›Paper›PMID 26222865›Full record

ArticleMedicine2015

Laparoscopy Versus Laparotomy in the Treatment of High-Risk Endometrial Cancer: A Propensity Score Matching Analysis.

Huiqiao Gao, Zhenyu Zhang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. ESGO/ESTRO/ESP Guidelines for the management of patients with endometrial carcinoma.Virchows Archiv : an international journal of pathology · 2021
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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

2 authors at 1 institution in 1 country.

Huiqiao GaoFrom the Department of Obstetrics and Gynecology, Beijing Chao-yang Hospital Affiliated to Capital Medical University, Beijing, China.
Zhenyu Zhang
Beijing Chao-Yang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to compare the long-term safety and efficacy of laparoscopic surgery and laparotomy for high-risk endometrial cancer (EC).A retrospective analysis based on our decade of clinical data of patients with high-risk EC who were comprehensively surgically staged by laparotomy or laparoscopy was performed. The surgical outcomes were compared between different approaches using propensity score matching (PSM).Eighty-one pairs of patients from the initial 220 enrolled ones were matched by PSM. The mean operative time is similar between laparotomy and laparoscopy groups (258 minutes vs. 253 minutes). The laparoscopy cohort has less blood loss (107 mL vs.414 mL, P < 0.01), shorter hospital stay (14.7 days vs. 17.7 days, P = 0.02) and significant fewer intraoperative complications (6.2% vs. 25.9%, P < 0.01). The pelvic lymph nodes dissected by laparoscopy (16.4) were significant less than that dissected by laparotomy (21.9). The 5- and 10-year survival rate for laparotomy were 89.2% and 75.8% compared with 85.3% and 85.3% for the laparoscopy. There was no significant difference in overall survival (P = 0.97).Laparoscopy is as effective as laparotomy in the long term and can be safely carried out in patients with high-risk EC for surgery treatment.

Indexed as

Neoplasm StagingPropensity ScoreEndometrial NeoplasmsFemaleHumansHysterectomyLaparoscopyLaparotomyMiddle AgedRetrospective StudiesTreatment Outcome

Identifiers

PMID26222865
PMCPMC4554115
OpenAlexW2322037268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.