Evidence map›Paper›PMID 26820579›Full record

ArticlePloS one2016

Are Early Relapses in Advanced-Stage Ovarian Cancer Doomed to a Poor Prognosis?

Fabien Vidal, Paul Guerby, Mathieu Luyckx, Pascale Haddad, Eberhard Stoeckle, Philippe Morice, Eric Leblanc, Fabrice Lecuru, Emile Daraï, Jean Marc Classe and 5 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

15 authors.

Fabien VidalStem cell and microenvironment laboratory, Weill Cornell Medical College in Qatar, Education City, Qatar Foundation, Doha, Qatar.
Paul GuerbyDepartment of Gynecologic Surgery, Toulouse Academic Hospital, F-31059, Toulouse, France.
Mathieu LuyckxDepartment of Gynecologic Surgery, Saint Luc Academic Hospital, Catholic University of Louvain, Bruxelles, Belgium.
Pascale HaddadBiostatistics Core, Weill Cornell Medical College in Qatar, Education City, Qatar Foundation, Doha, Qatar.
Eberhard StoeckleDepartment of Surgery, Institut Bergonie, Comprehensive Cancer Center, Bordeaux, France.
Philippe MoriceDepartment of Gynecologic Surgery, Institut Gustave Roussy, Cancer Campus, Grand Paris, Villejuif, France.
Eric LeblancDepartment of Gynecologic Oncology, Centre Oscar Lambret, F-59037, Lille, France.
Fabrice LecuruDepartment of Gynecologic Oncology, Georges Pompidou European Hospital, Paris, France.
Emile DaraïDepartment of Gynecologic Surgery, Tenon Hospital, Paris, France.
Jean Marc ClasseDepartment of Surgical Oncology, Centre Gauducheau, Comprehensive Cancer Center, Saint Herblain, France.
Christophe PomelDepartment of Surgical Oncology, Jean Perrin Cancer Center, Clermont-Ferrand, France.
Thomas FilleronDepartment of Surgical Oncology, Institut Claudius Regaud, Comprehensive Cancer Center, F-31052 Toulouse, France.
Gwenael FerronDepartment of Surgical Oncology, Institut Claudius Regaud, Comprehensive Cancer Center, F-31052 Toulouse, France.
Denis QuerleuDepartment of Surgery, Institut Bergonie, Comprehensive Cancer Center, Bordeaux, France.
Arash RafiiStem cell and microenvironment laboratory, Weill Cornell Medical College in Qatar, Education City, Qatar Foundation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEarly recurrence (ER) after completion of therapeutic regimen in advanced-stage ovarian cancer is a challenging clinical situation. Patients are perceived as invariably having a poor prognosis. We investigated the possibility of defining different prognostic subgroups and the parameters implicated in prognosis of ER patients. STUDY

designWe analyzed a multi-centric database of 527 FIGO stage IIIC and IV ovarian cancer patients. We defined patients relapsing within 12 months as ER and investigated using Cox logistic regression the prognostic factors in ER group. We subsequently divided ER patients into good and poor prognosis groups according to a lower or higher overall survival (OS) at 12 months after relapse and determined parameters associated to poor prognosis.

resultsThe median follow up was 49 months. One hundred and thirty eight patients recurred within 12 months. OS and Disease Free Survival (DFS) were 24.6 and 8.6 months, respectively, in this group of patients. Among the ER patients, 73 had a poor prognosis with an OS after relapse below 12 months (mean OS = 5.2 months) and 65 survived after one year (mean OS = 26.9 months). Residual disease (RD) after debulking surgery and mucinous histological subtype negatively impacted prognosis (HR = 1.758, p = 0.017 and HR = 8.641, p = 0.001 respectively). The relative risk of death within 12 months following relapse in ER patients was 1.61 according to RD status. However, RD did not affect DFS (HR = 0.889, p = 0.5).

conclusionER in advanced-stage ovarian cancer does not inevitably portend a short-term poor prognosis. RD status after initial cytoreduction strongly modulates OS, that gives additional support to the concept of maximum surgical effort even in patients who will experience early recurrence. The heterogeneity in outcomes within the ER group suggests a role for tumor biology in addition to classical clinical parameters.

Indexed as

AgedDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateMiddle AgedNeoplasm Recurrence, LocalNeoplasms, Cystic, Mucinous, and SerousOvarian NeoplasmsPrognosisProportional Hazards ModelsTreatment Outcome

Identifiers

PMID26820579
PMCPMC4731146

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.