Evidence map›Paper›PMID 35983010›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Analysis of the Effect of Fast Recovery Surgery Concept on Perioperative Nursing Care of Patients with Radical Resection of Cervical Cancer and Its Influence on Psychological Status.

Yun Lu, Luxi Xu, Xiaoyu Lin, Xueling Qi, Ling Xia, Yuan Wang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yun LuDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Luxi XuDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Xiaoyu LinDepartment of Pediatrics, Affiliated Hospital of Jiangnan University, Wuxi, China.
Xueling QiDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Ling XiaDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China.ORCID https://orcid.org/0000-0001-9120-425X
Yuan WangDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China.ORCID https://orcid.org/0000-0002-2453-6243
Jiangnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the applied effect of fast-track surgery concept in the perioperative nursing of patients undergoing radical cervical cancer surgery and its influence on mental state. Methods: The clinical data of 110 patients undergoing radical cervical cancer surgery in our hospital from May 2015 to May 2017 were retrospectively analyzed, and they were randomly divided into a research group ( Results: The Karnofsky performance status (KPS) scores of patients in the two groups after intervention were significantly lower than those before the intervention ( Conclusion: The fast-track surgery concept effectively helps improve the negative emotion of patients, shorten recovery time, improve quality of life, and reduce the impact on immune function in the radical cervical cancer surgery, and it is worthy of promotion and application, with a high safety.

Identifiers

PMID35983010
PMCPMC9381187
OpenAlexW4292458072

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.