Evidence map›Paper›PMID 21975775›Full record

SynthesisThe Cochrane database of systematic reviews2011

Epidermal growth factor receptor blockers for the treatment of ovarian cancer.

Krishnayan Haldar, Kezia Gaitskell, Andrew Bryant, Shibani Nicum, Sean Kehoe, Jo Morrison

Open access · greenAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Krishnayan HaldarGynaecological Oncology, University Hospital Llandough, Cardiff, UK.
Kezia Gaitskell
Andrew Bryant
Shibani Nicum
Sean Kehoe
Jo Morrison
Churchill Hospital · GBLondon School of Hygiene & Tropical Medicine · GBMusgrove Park Hospital · GBNewcastle University · GBUniversity Hospital Llandough · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian cancer is the seventh most common cause of cancer death in women world-wide. Treatment consists of a combination of surgical debulking and platinum-based chemotherapy, alone or in combination with paclitaxel. Between 55% and 75% of women who respond to first-line therapy relapse within two years of completing treatment. Second-line chemotherapy is palliative and aims to reduce symptoms and prolong survival. Increased understanding about the molecular basis of ovarian cancer has led to the development of novel agents, such as epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors, and their effectiveness and toxicities in women with advanced ovarian cancer needs to be assessed.

objectivesTo compare the effectiveness and toxicities of epidermal growth factor receptor (EGFR) inhibitors alone or in combination with standard chemotherapy in the treatment of ovarian cancer. SEARCH STRATEGY: We searched the Cochrane Gynaecological Cancer Group Trials Register, The Cochrane Central Register of Controlled Trials (CENTRAL) Issue 4, 2010, MEDLINE and EMBASE up to October 2010. We also searched registers of clinical trials, abstracts of scientific meetings, and reference lists of included studies, and contacted experts in the field. SELECTION CRITERIA: Randomised controlled trials (RCTs) comparing anti-EGFR agents with or without conventional chemotherapy versus conventional chemotherapy alone or no treatment in women with histologically proven ovarian cancer. DATA COLLECTION AND ANALYSIS: Two review authors independently abstracted data and assessed risk of bias. We reported adjusted hazard ratios (HRs) for overall and progression-free survival and risk ratios (RRs) comparing adverse events in women who received gemcitabine plus pertuzumab and gemcitabine plus placebo. MAIN

resultsWe found only one completed and three ongoing RCTs that met our inclusion criteria. The completed trial randomised 131 women with relapsed ovarian cancer to receive gemcitabine and pertuzumab or placebo and gemcitabine (control). There was no statistically significant difference in overall survival (OS), progression-free survival (PFS) and response between women who received gemcitabine and pertuzumab and those who received control, although PFS approached borderline significance (adjusted HR = 0.66, 95% CI 0.43 to 1.03; P = 0.06). The trial reported a higher rate of adverse events in the gemcitabine and pertuzumab arm for most outcomes, but most were not statistically significant (although many approached borderline significance) because the trial lacked statistical power due to its relatively small size and the low number of observed events. The trial was at moderate risk of bias. AUTHORS'

conclusionsEGFR inhibitors, including pertuzumab, may add activity to conventional chemotherapy for treatment of platinum-resistant ovarian cancer. Certain subsets of women with particularly aggressive tumours resistant to conventional chemotherapy may benefit from EGFR inhibitor treatment. Further RCTs are necessary before EGFR inhibitors are introduced as first- or second-line treatment of ovarian cancer.

Indexed as

Antibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsDeoxycytidineDisease-Free SurvivalErbB ReceptorsFemaleGemcitabineHumansNeoplasm Recurrence, LocalOvarian NeoplasmsRandomized Controlled Trials as TopicAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsDeoxycytidineErbB ReceptorsGemcitabinepertuzumab

Identifiers

PMID21975775
OpenAlexW2108619997

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.