Evidence map›Paper›PMID 30886899›Full record

ArticleOpen medicine (Warsaw, Poland)2019

Prognostic Significance of Lymph Node Ratio in Ovarian Cancer.

Xiaoxia Tong, Haoran Li, Huiqing Chen, Dong Zhai, Yangyang Pang, Ruyin Lin, Yuan Xu

Open access · goldAbstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. 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

7 authors at 5 institutions in 1 country.

Xiaoxia TongCancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China.
Haoran LiCancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University Shanghai 200032, China.
Huiqing ChenDepartment of gynaecology and obstetrics, Second Affiliated Hospital, Fujian Medicine University, 34 Zhongshan Road Licheng,Quanzhou, 362000, China.
Dong ZhaiThird Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 310005, China.
Yangyang PangJiading Central Hospital, Shanghai 201800, China.
Ruyin LinSecond Affiliated Hospital, Fujian Medicine University, 34 Zhongshan Road, Licheng,Quanzhou, 362000, China.
Yuan XuSecond Affiliated Hospital, Fujian Medicine University, 34 Zhongshan Road, Licheng,Quanzhou, 362000, China.
Fujian Medical University · CNSecond Affiliated Hospital of Fujian Medical University · CNFudan University Shanghai Cancer Center · CNJiading District Central Hospital · CNThe Third Affiliated Hospital of Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphadenectomy is critical in the clinical prognosis of ovarian cancer patients. Therefore, we assessed whether lymph node ratio (LNR) has predictive value on overall survival (OS) of patients with serous epithelial ovarian cancer (SEOC). A total of 7,815 eligible SEOC patients were identified from the Surveillance, Epidemiology, and End Results (SEER) database, who underwent surgical resection between 1973 and 2013. We used the time-dependent receiver operating characteristic (ROC) curve and the area under curve to determine the optimal cut-off value of LNR. The predictive role of LNR was analyzed by Cox proportional hazards regression model. The effects of LNR and positive lymph nodes (PLN) on OS were evaluated by comparing the time-dependent ROC curves. The time-dependent ROC curves showed that the optimal LNR cut-off value was 42.0% for nodal-positive SEOC. As shown in Kaplan-Meier survival curves, survival was significantly poorer for all patients with LNR≥42.0% (log-rank test: P<0.0001), regardless of the stage. In the multivariate Cox analysis, LNR≥42.0% remained a significant and independent predictor of mortality risk for all patients [hazards ratio: 1.526, 95% confidence interval: 1.415-1.647; P<0.0001], compared with those LNR<42.0%. These results suggest that LNR, rather than the number of PLN or stage, could be regarded as a promising predictor of mortality risk, particularly in stage-III SEOC patients.

Indexed as

Lymph nodeOverall survivalSerous epithelial ovarian cancer

Identifiers

PMID30886899
PMCPMC6419391
OpenAlexW2921798181

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.