Evidence map›Paper›PMID 37275333›Full record

ArticleInternational journal of general medicine2023

Clinical Value of Combined Multi-Indicator Tests in Diagnosis of Benign Ovarian.

Lunyun Yang, Lin Du, Bailong Hou, Xiaoqin Niu, Wei Wang, Weifeng Shen

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2023. 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
0.8field-weighted citation impact, top 25% 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, 3 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

6 authors at 3 institutions in 1 country.

Lunyun YangDepartment of Laboratory Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, People's Republic of China.
Lin DuThe Third Xiangya Hospital of Central South University, Changsha, 430074, People's Republic of China.
Bailong HouDepartment of Laboratory Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, People's Republic of China.
Xiaoqin NiuDepartment of Laboratory Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, People's Republic of China.
Wei WangDepartment of Laboratory Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, People's Republic of China.
Weifeng ShenDepartment of Laboratory Medicine, The Affiliated Hospital of Jiaxing University, Jiaxing, 314000, People's Republic of China.
Jiaxing University · CNCentral South University · CNFirst Hospital of Jiaxing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To investigate the existence and degree of correlation between benign ovarian tumors and physiological indicators such as reproductive hormones and tumor markers. Methods: A total of 150 patients with benign ovarian tumors admitted to Jiaxing First Hospital between January 1, 2019, and May 30, 2021, were enrolled as research subjects, while 104 healthy women were enrolled in the control group. Comparative analysis of the correlation between the reproductive hormones LH, FSH, T, E2, and the tumor indicators AMH, AFP, CEA, CA125, and CA199 between the groups was performed. Results: There was no statistical difference in LH, FSH, T, AMH, and CEA expression levels between the experimental and control groups (p≥0.05); E Conclusion: The most relevant factors for benign ovarian tumors are E2, CA125, and CA199 and the combination of these three indicators has the highest AUC for disease prediction while increasing the detection rate of benign ovarian tumors.

Indexed as

benign ovarian tumorsreproductive hormonestumor markers

Identifiers

PMID37275333
PMCPMC10237279
OpenAlexW4378716893

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.