Evidence map›Paper›PMID 29703026›Full record

SynthesisMedicine2018

Acquired treatment response from neoadjuvant chemotherapy predicts a favorable prognosis for local advanced cervical cancer: A meta-analysis.

Yunshan Zhu, Jianhua Yang, Xiao Zhang, Danxia Chen, Songying Zhang

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Yunshan ZhuDepartment of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University.
Jianhua YangDepartment of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University.
Xiao ZhangDepartment of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University.
Danxia ChenDepartment of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University.
Songying ZhangDepartment of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLocal advanced cervical cancer (LACC) is a considerable health crisis for women, and neoadjuvant chemotherapy (NACT) followed by radical surgery has been a suggested therapy method. However, the correlation between the tumor treatment response to NACT and the prognosis of LACC remains controversial.

methodsA comprehensive meta-analysis was performed to precisely assess the prognostic role of the clinical response and pathological response to NACT for LACC. The included studies were identified using PubMed and Web of Science up to July 2017. Hazard ratios (HR) and corresponding 95% confidence intervals (95% CI) for overall survival (OS) and disease-free survival (DFS) were determined using Review Manager (version 5.3) and Stata (version 12).

resultsA total of 13 publications of 4727 cases were included. The treatment clinical response rate ranged from 58.49% to 86.54%, and the pathological response rate was 7.5% to 78.81%. Our combined results suggested that a clinical response was favorable for OS (HR=3.36, 95% CI: 2.41-4.69) and DFS (HR=2.36, 95% CI: 1.82-3.06). Further, a pathological response predicts favorable OS (HR=5.45, 95% CI: 3.42-8.70) and DFS (HR=3.61, 95% CI: 2.0-6.52).

conclusionThe response to NACT, including the clinical and pathological response, was associated with a favorable prognosis for patients with LACC. However, the predictive value of this factor in clinical practice warrants further in-depth research.

Indexed as

Chemotherapy, AdjuvantFemaleHumansPrognosisSurvivalUterine Cervical Neoplasms

Identifiers

PMID29703026
PMCPMC5944488

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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.