Evidence map›Paper›PMID 37693130›Full record

ArticleAmerican journal of cancer research2023

Effect of different metastasis patterns on the prognosis of patients with stage III high-grade serous ovarian cancer.

Hongjuan Yang, Dongmei Gao, Chang Wang, Jinwen Jiao, Xinping Yu, Xiangkun Li

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
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 1 institution in 1 country.

Hongjuan YangDepartment of Gynecology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.
Dongmei GaoDepartment of Gynecology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.
Chang WangDepartment of Gynecology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.
Jinwen JiaoDepartment of Gynecology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.
Xinping YuDepartment of Gynecology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.
Xiangkun LiDepartment of Anesthesiology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the effect of different metastatic patterns of stage III high-grade serous ovarian cancer on the patient prognosis. The clinical data of 134 patients with Stage III, high-grade serous ovarian cancer diagnosed in The Affiliated Hospital of Qingdao University from January 2018 to April 2020 were retrospectively collected, and the patients were grouped according to metastasis mode. Patients with simple lymph node metastasis (SLNM) were included in the SLNM group, and patients with simple abdominal implantation alone and patients with abdominal metastasis combined with lymph node metastasis were all in the abdominal metastasis (AM) group. The prognosis of the two groups was analyzed. Of the 134 enrolled patients, complete datasets from 128 were successfully collected. There were 20 cases of SLNM (15.63%) and 108 cases of AM (84.37%). Initial CA125, initial HE4, and whether neoadjuvant chemotherapy was used were compared between the two groups (

Indexed as

abdominal metastasislymphatic metastasisprognosisSerous ovarian cancersimple lymph node metastasis

Identifiers

PMID37693130
PMCPMC10492114
OpenAlexW4386593159

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.