Evidence map›Paper›PMID 36110573›Full record

ArticleComputational and mathematical methods in medicine2022

Efficacy Analysis of Comprehensive Nursing in the Care of Ovarian Carcinoma Treated with Paclitaxel Combined with Nedaplatin.

Yahui Li, Jing Wu, Gehong Zhu

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 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 It has been retracted, and should not be counted.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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yahui LiDepartment of Gynecology and Oncology, Shaanxi Cancer Hospital, Xi'an, 710061 Shaanxi, China.ORCID https://orcid.org/0000-0003-4473-5001
Jing WuDepartment of General Surgery, Shaanxi Cancer Hospital, Xi'an, 710061 Shaanxi, China.
Gehong ZhuDepartment of Gynecology and Oncology, Shaanxi Cancer Hospital, Xi'an, 710061 Shaanxi, China.ORCID https://orcid.org/0000-0001-6715-9399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the effectiveness of comprehensive nursing in the care of ovarian carcinoma (OC) patients treated with paclitaxel (PTX) plus nedaplatin (NDP). Methods: The research population comprised 180 advanced OC patients who received treatment in the Shaanxi Cancer Hospital between November 2018 and November 2021. The enrolled cases were assigned to two groups based on different nursing plans: an observation group (OG) with 100 cases treated with comprehensive nursing and a control group (CG) with 80 cases intervened by conventional nursing. Intergroup comparisons were performed to identify statistical significance in terms of the following parameters: serum NGF, TK1, and CA15-3 levels; VAS, SAS, and SDS scores; nursing compliance; incidence of adverse reactions; and nursing satisfaction. Results: Compared with CG, OG showed the following: (1) lower posttreatment NGF, TK1, and CA15-3 levels; (2) lower scores of SAS and SDS; (3) higher nursing compliance; and (4) lower incidence of adverse reactions and higher nursing satisfaction after nursing. Conclusions: Comprehensive nursing far outperformed conventional nursing in the care of advanced OC patients treated with PTX plus NDP, which is worth popularizing.

Indexed as

Organoplatinum CompoundsOvarian NeoplasmsPaclitaxelAntineoplastic Combined Chemotherapy ProtocolsFemaleHumansNerve Growth FactornedaplatinNerve Growth FactorOrganoplatinum CompoundsPaclitaxel

Identifiers

PMID36110573
PMCPMC9470341
OpenAlexW4294844593

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.