Evidence map›Paper›PMID 39245440›Full record

ArticleThe oncologist2024

The impact of inter-cycle treatment delays on overall survival in patients with advanced-stage ovarian cancer.

Luke Steventon, Kenneth K C Man, Shibani Nicum, Rowan E Miller, Shira Peleg Hasson, Samixa Shah, Michael Baser, Emma Kipps, Martin D Forster, Ofran Almossawi and 1 more

Abstract read
In one paragraph

Article in The oncologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors.

Luke SteventonMedical Oncology Department and Centre of Medicines Optimization Research and Education (CMORE), University College Hospitals NHS Foundation Trust, 235 Euston rd, London NW1 2PP, United Kingdom.ORCID 0009-0004-6759-4701
Kenneth K C ManMedical Oncology Department and Centre of Medicines Optimization Research and Education (CMORE), University College Hospitals NHS Foundation Trust, 235 Euston rd, London NW1 2PP, United Kingdom.ORCID 0000-0001-8645-1942
Shibani NicumMedical Oncology Department and Centre of Medicines Optimization Research and Education (CMORE), University College Hospitals NHS Foundation Trust, 235 Euston rd, London NW1 2PP, United Kingdom.ORCID 0000-0003-1125-405X
Rowan E MillerMedical Oncology Department and Centre of Medicines Optimization Research and Education (CMORE), University College Hospitals NHS Foundation Trust, 235 Euston rd, London NW1 2PP, United Kingdom.ORCID 0000-0002-2400-1716
Shira Peleg HassonSchool of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0002-3707-1107
Samixa ShahMedical Oncology Department and Centre of Medicines Optimization Research and Education (CMORE), University College Hospitals NHS Foundation Trust, 235 Euston rd, London NW1 2PP, United Kingdom.
Michael BaserNational Disease Registration Service (NDRS), NHS England, London E14 4PU, United Kingdom.
Emma KippsThe Royal Marsden NHS Trust, London SW3 6JJ, United Kingdom.ORCID 0000-0002-4912-8502
Martin D ForsterMedical Oncology Department and Centre of Medicines Optimization Research and Education (CMORE), University College Hospitals NHS Foundation Trust, 235 Euston rd, London NW1 2PP, United Kingdom.
Ofran AlmossawiGreat Ormond Street Hospital for Children NHS Foundation Trust, Population, Policy & Practice Department, London WC1N 1LE, United Kingdom.
Pinkie ChambersMedical Oncology Department and Centre of Medicines Optimization Research and Education (CMORE), University College Hospitals NHS Foundation Trust, 235 Euston rd, London NW1 2PP, United Kingdom.ORCID 0000-0002-6669-9411

Funding

National Institute for Health and Care ResearchResearch for Patient Benefit NIHR 201481
6 · The paper itself

Abstract

introductionChemotherapy forms the cornerstone of systemic treatment for advanced ovarian cancer, extending overall survival; however, drug-related toxicity can lead to treatment delays, potentially diminishing treatment efficacy. This study evaluated the impact of treatment delays on all-cause mortality of patients with ovarian cancer, to better inform decisions on patient management.

methodsThis retrospective, population-based cohort study included 1517 women with advanced-stage ovarian cancer, receiving first-line adjuvant or neoadjuvant chemotherapy in 2014 and 2015. The frequency of inter-cycle delays >7 days was calculated using drug administration dates. Kaplan-Meier estimates were used to compare 2-year overall survival (OS) between patients who were delayed and those treated to schedule. Cox proportional hazards regression was used to investigate the impact of treatment delay on all-cause mortality. Inverse probability of treatment weighting propensity scores were used to adjust for confounding variables.

resultsDelays >7 days occurred in 35.3% of patients. Two-year OS probability was 62.7% in patients who experienced treatment delays >7 days (95% CI, 58.7-66.9) compared to 69.1% in those treated to schedule (95% CI, 66.2-72.0). Delays were not significantly associated with all-cause mortality when adjusted for confounders (HR 1.00 95% CI, 0.83-1.20, P = .9).

conclusionsDelays to chemotherapy treatment were not significantly associated with worsened survival in patients with advanced-stage ovarian cancer. These results can inform clinical decision making that prioritize toxicity management and quality of life for those treated with chemotherapy.

Indexed as

Ovarian NeoplasmsAdultAgedAntineoplastic Combined Chemotherapy ProtocolsChemotherapy, AdjuvantFemaleHumansMiddle AgedNeoplasm StagingRetrospective StudiesTime-to-TreatmentTreatment Delaycancerchemotherapydelayovariansurvivaltreatment

Identifiers

PMID39245440
PMCPMC11546639

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Registered trials

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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.