Evidence map›Paper›PMID 35783151›Full record

ArticleJournal of oncology2022

Analysis of the Correlation between Nutritional Status and Quality of Life of Patients with Gynaecological Ovarian Cancer during Postoperative Chemotherapy.

Xiaoming Shi, Yuchun Lv, Peiqi Wang, Xin Yang, Shengjun You

Abstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
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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.

Xiaoming ShiDepartment of Obstetrics and Gynecology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Yuchun LvDepartment of Obstetrics and Gynecology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.ORCID https://orcid.org/0000-0001-6705-5151
Peiqi WangDepartment of Obstetrics and Gynecology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Xin YangDepartment of Obstetrics and Gynecology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Shengjun YouDepartment of Obstetrics and Gynecology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer mortality is on the rise in China. Surgery followed by adjuvant chemotherapy is the most extensively used treatment for tumour recovery. An excellent nutritional condition prior and throughout treatment serves to improve the quality of life and, as a result, the treatment result. The goal of this research was how diet affected the functioning standard of those living in carcinoma who were receiving postoperative treatment. BMI was utilised to evaluate nutrition, accompanied by albuminemia, prealbuminemia, and serum C-reactive protein, that is used to evaluate excessive catabolism. The QLQ-C30 questionnaire assessed standard of living. The performance status of the patient is decided with the help of the WHO performance scale for cancer patients. The study identified the statistically significant relationship between the performance status and hypercatabolism in the global health (quality of life) of the patient. While body mass index is often considered as a standard for assessment of nutritional status, it has affected only the cognitive function of the patient. In this study, we have concluded that in addition to direct measurement of the BMI, other clinical parameters such as serum CRP should be considered to get a better outcome of chemotherapy.

Identifiers

PMID35783151
PMCPMC9242772

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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.