Evidence map›Paper›PMID 32350695›Full record

ReviewCurrent treatment options in oncology2020

Recurrent Treatment in Ovarian Cancer Patients: What Are the Best Regimens and the Order They Should Be Given?

Joanna Glajzer, Jacek P Grabowski, Jalid Sehouli, Jacobus Pfisterer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. 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

4 authors at 3 institutions in 1 country.

Joanna GlajzerDepartment of Gynecology and Center of Oncological Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany. joanna.glajzer@charite.de.
Jacek P GrabowskiDepartment of Gynecology and Center of Oncological Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
Jalid SehouliDepartment of Gynecology and Center of Oncological Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
Jacobus PfistererGynecologic Oncology Center, Kiel, Germany.
Freie Universität Berlin · DECharité - Universitätsmedizin Berlin · DEClinical Research Center Kiel · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementThe choice of the right treatment regimen for recurrent ovarian cancer (rOC) remains a case-by-case decision. It is based on multiple factors that involve patient characteristics and biological factors at the same time. The prioritization of factors is still subject to changes with a trend towards a more personalized medicine. Therefore, participation and engagement in clinical studies constitutes a substantial need for the future development of the treatment algorithm of rOC.

Indexed as

AlgorithmsClinical Decision-MakingCombined Modality TherapyDisease ManagementFemaleHumansOvarian NeoplasmsRecurrenceRetreatmentTreatment OutcomeChemotherapy ovarian cancerPARP inhibitorsRecurrent ovarian cancerSurgery ovarian cancer recurrenceTreatment ovarian cancer

Identifiers

PMID32350695
OpenAlexW3023595278

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.