Evidence map›Paper›PMID 35186243›Full record

ArticleJournal of healthcare engineering2022

Clinical Effect of Laparoscopic Radical Surgery Combined with Neoadjuvant Chemotherapy in Treating Cervical Cancer and Its Influence on Postoperative Complications and Adverse Reaction Rates.

Wenduan Gong, Yejun Liu

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Wenduan GongDepartment of Gynecology, Qianjiang Central Hospital of Hubei Province, Qianjiang 433100, Hubei, China.ORCID 0000-0002-9555-9020
Yejun LiuDepartment of Gynecology, Qianjiang Central Hospital of Hubei Province, Qianjiang 433100, Hubei, China.ORCID 0000-0002-4914-8247
Qianjiang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer, the only gynecological malignancy for which a clear pathogeny has been established, has an incidence rate only second to breast cancer.

objectiveIn our study, we aim to investigate the clinical effect of laparoscopic radical surgery combined with neoadjuvant chemotherapy in treating cervical cancer and its influence on postoperative complications and adverse reaction rates.

methodsCervical cancer patients admitted to our hospital from August 2018 to May 2020 were retrospectively analyzed as the research object and divided into the control group and the experimental group by the draw method, with 50 cases in each group. The laparoscopic radical surgery was performed on the control group, and the laparoscopic radical surgery combined with neoadjuvant chemotherapy was performed on the experimental group to compare their effective rates, adverse reaction rates, postoperative complication rates, expression levels of serum tumor necrosis factor-

resultsCompared with the control group, the experimental group obtained significantly higher effective rate and QLI scores (

conclusionThe clinical effect of laparoscopic radical surgery combined with neoadjuvant chemotherapy can obviously improve the effective rate of cervical cancer patients and lower the incidence rates of postoperative complications and adverse reactions.

Indexed as

LaparoscopyUterine Cervical NeoplasmsFemaleHumansNeoadjuvant TherapyPostoperative ComplicationsQuality of LifeRetrospective StudiesTumor Necrosis Factor-alphaTumor Necrosis Factor-alpha

Identifiers

PMID35186243
PMCPMC8849804
OpenAlexW4211240131

What OpenQuestion 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 OpenQuestion graph.