Evidence map›Paper›PMID 36046198›Full record

ReviewExploration of targeted anti-tumor therapy2020

Integration of PARP-inhibitors in ovarian cancer therapy.

Antonella Pietragalla, Francesca Ciccarone, Camilla Nero, Giovanni Scambia, Domenica Lorusso, Gennaro Daniele

Open access · diamondAbstract readReview
In one paragraph

Review in Exploration of targeted anti-tumor therapy, 2020. 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
0.2field-weighted citation impact, top 48% 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, 4 citations in OpenAlex.

  1. Review
  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 2 institutions in 1 country.

Antonella PietragallaScientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID https://orcid.org/0000-0001-6232-0323
Francesca CiccaroneScientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Camilla NeroScientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID https://orcid.org/0000-0002-4442-4046
Giovanni ScambiaScientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID https://orcid.org/0000-0002-9503-9041
Domenica LorussoScientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID https://orcid.org/0000-0003-0981-0598
Gennaro DanieleScientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID https://orcid.org/0000-0001-5360-1895
Agostino Gemelli University Polyclinic · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly-ADP-ribose polymerase inhibitors (PARP-I) represent one of the most attractive and promising class of biological agents studied both in relapsed ovarian cancer (OC) and in the advanced setting. The availability of this new class of drugs has changed the clinical management of OC ensuring an unprecedented advance in such an aggressive cancer. Three oral PARP-I are currently available: olaparib, niraparib and rucaparib. Another two are in active clinical exploration: veliparib and talazoparib. Here the authors report clinical data with PARP-I with a particular emphasis on the phase II and III trials that support PARP-I approval by regulatory agencies in OC patients.

Indexed as

BRCA1 and 2DNA repairhomologous recombination deficiencyovarian cancerPARP-inhibitors

Identifiers

PMID36046198
PMCPMC9400691
OpenAlexW3038315829

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.