Evidence map›Paper›PMID 24986099›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2014

Overview of a chemoresponse assay in ovarian cancer.

E C Grendys, J V Fiorica, J W Orr, R Holloway, D Wang, C Tian, J K Chan, T J Herzog

Abstract readReview
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Cancer Stem Cell Assay for the Treatment of Platinum-Resistant Recurrent Ovarian Cancer.HSOA journal of stem cells research, development & therapy · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. NewPeerJ · 2017
    Article
  13. Review
  14. Review
  15. Article
  16. 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

8 authors.

E C GrendysFlorida Gynecologic Oncology and Regional Cancer Center, 8931 Colonial Center Drive, Fort Myers, FL, 33905, USA.
J V Fiorica
J W Orr
R Holloway
D Wang
C Tian
J K Chan
T J Herzog

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this review is to summarize recent scientific and medical literature regarding chemoresponse assays or chemotherapy sensitivity and resistance assays (CSRAs), specifically as applied to epithelial ovarian cancer. A total of sixty-seven articles, identified through PubMed using the key words "in vitro chemoresponse assay," "chemo sensitivity resistance assay," "ATP," "HDRA," "EDR," "MiCK," and "ChemoFx," were reviewed. Recent publications on marker validation, including relevant clinical trial designs, were also included. Recent CSRA research and clinical studies are outlined in this review. Published findings demonstrate benefits regarding patient outcome with respect to recent CSRAs. Specifically, analytical and clinical validations, as well as clinical utility and economic benefit, of the most common clinically used CSRA in the United States support its use to aid in making effective, individualized clinical treatment selections for patients with ovarian cancer.

Indexed as

Drug Resistance, NeoplasmBiological AssayBiomarkers, TumorCarcinoma, Ovarian EpithelialFemaleHumansNeoplasms, Glandular and EpithelialOvarian NeoplasmsResearch DesignBiomarkers, Tumor

Identifiers

PMID24986099
PMCPMC4139589

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.