Evidence map›Paper›PMID 34150157›Full record

ArticleAmerican journal of translational research2021

Effect of comprehensive nursing intervention on serum inflammatory factors and quality of life in patients with pelvic inflammatory disease.

Hailing Sun, Hongdi Lin, Haifei Ye

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
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

3 authors at 1 institution in 1 country.

Hailing SunParty and Government Office, Zhoushan Women and Children Hospital Zhoushan 316000, Zhejiang Province, China.
Hongdi LinDepartment of Gynecology, Zhoushan Women and Children Hospital Zhoushan 316000, Zhejiang Province, China.
Haifei YeDepartment of Gynecology, Zhoushan Women and Children Hospital Zhoushan 316000, Zhejiang Province, China.
Zhoushan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the improvement of quality of life of patients with pelvic inflammatory disease by comprehensive nursing intervention.

methodsAltogether 118 patients with pelvic inflammatory disease admitted to our hospital from February 2018 to December 2019 were obtained and grouped into the control group (CG) and the experimental group (EG). The CG was given routine nursing and the EG was given comprehensive nursing intervention. The clinical efficacy, changes of serum inflammatory factors, negative emotion scores, treatment compliance and quality of life of the two groups were compared. The satisfaction of nursing care of patients in two groups was counted.

resultsThe total effective rate of treatment in the EG was evidently higher than that in the CG. Before nursing, there was no significant difference in serum inflammatory factors, SDS and SAS scores and quality of life scores between the two groups (P<0.05). After nursing intervention, the levels of serum inflammatory factors, SDS and SAS scores and quality of life scores in the EG were evidently better than those in the CG, and their satisfaction with nursing was evidently higher than that in the CG (all P< 0.05).

conclusionComprehensive nursing intervention can effectively improve the quality of life of patients with pelvic inflammatory disease, and as such it is worth popularizing.

Indexed as

Comprehensive nursingpelvic inflammationquality of lifesatisfactiontherapeutic efficacy

Identifiers

PMID34150157
PMCPMC8205741
OpenAlexW3174286273

What OpenQuestion holds

Textmetadata
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.