Evidence map›Paper›PMID 26793017›Full record

ReviewContemporary oncology (Poznan, Poland)2015

Two drugs are better than one. A short history of combined therapy of ovarian cancer.

Barbara Bukowska, Arkadiusz Gajek, Agnieszka Marczak

Open access · goldAbstract readReview
In one paragraph

Review in Contemporary oncology (Poznan, Poland), 2015. 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
2.0field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. A Multi-Faceted Analysis ShowingInternational journal of molecular sciences · 2024
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  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

3 authors at 1 institution in 1 country.

Barbara BukowskaDepartment of Thermobiology, Institute of Biophysics, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland.
Arkadiusz GajekDepartment of Thermobiology, Institute of Biophysics, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland.
Agnieszka MarczakDepartment of Thermobiology, Institute of Biophysics, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland.
University of Łódź · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combined therapy of ovarian cancer has a long history. It has been applied for many years. The first drug which was commonly combined with other chemotherapeutics was cisplatin. It turned out to be effective given together with alkylating agents as well as with taxanes. Another drug which is often the basis of first-line therapy is doxorubicin. The use of traditional chemotherapy is often limited due to side effects. This is why new drugs, targeted specifically at cancer cells (e.g. monoclonal antibodies or epidermal growth factor receptor inhibitors), offer a welcome addition when used in combination with conventional anticancer agents. Drugs applied in combination should be synergistic or at least additive. To evaluate the type of interaction between drugs in a plausible sequence, isobolographic analysis is used. This method allows one to assess whether the two agents could make an efficient combination, which might improve the therapy of ovarian cancer.

Indexed as

combined therapyisobolographic analysisovarian cancersynergism

Identifiers

PMID26793017
PMCPMC4709392
OpenAlexW2130875766

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.