Evidence map›Paper›PMID 28033447›Full record

ArticleJAMA oncology2017

Assessment of Overall Survival, Quality of Life, and Safety Benefits Associated With New Cancer Medicines.

Sebastian Salas-Vega, Othon Iliopoulos, Elias Mossialos

Abstract read
PubMed Publisher
In one paragraph

Article in JAMA oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 5 pooled it
–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

66 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. A Framework for the Estimation of Quality-Adjusted Life-Years Using Joint Models of Longitudinal and Survival Data.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  7. Article
  8. Article
  9. Population Preferences for Treatment in Life-Limiting Illness: Valuing the Way Time Is Spent at the End of Life.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  10. Article
  11. Review
  12. Observational
  13. Improving the Dosing Schedules of Targeted Anticancer Agents.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Analysis of oncological drugs authorised in Spain in the last decade: association between clinical benefit and reimbursement.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  19. Review
  20. Article

6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Sebastian Salas-VegaLondon School of Economics and Political Science, London, England.
Othon IliopoulosHarvard Medical School, Boston, Massachusetts3Division of Hematology-Oncology, Department of Medicine, Massachusetts General Hospital, Boston.
Elias MossialosLondon School of Economics and Political Science, London, England4Institute of Global Health Innovation, Imperial College London, South Kensington Campus, London, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceThere is a dearth of evidence examining the impact of newly licensed cancer medicines on therapy. This information could otherwise support clinical practice, and promote value-based decision-making in the cancer drug market.

objectiveTo evaluate the comparative therapeutic value of all new cancer medicines approved by the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) between 2003 and 2013. DESIGN, SETTING, AND

participantsWe used a narrative synthesis approach to systematically synthesize and analyze English, French, and Australian health technology assessments (HTAs) of all new cancer medicines licensed in the United States and Europe between 2003 and 2013.

interventionsSixty-two new molecular entities with a primary oncology indication. MAIN OUTCOMES AND MEASURES: Overall survival (OS), quality of life (QoL), and safety.

resultsOf the 62 new active cancer molecules approved by the FDA and EMA between 2003 and 2013, 53 were appraised by English, French, or Australian HTA agencies through May 2015. Of these 53 drugs, 23 (43%) increased OS by 3 months or longer, 6 (11%) by less than 3 months, and 8 (15%) by an unknown magnitude; there was no evidence to suggest that the remaining 16 (30%) increased OS over best alternative treatments. Where overall survival gains could be quantified, all new cancer drugs were associated with a mean (SE) total increase in OS of 3.43 (0.63) months over the treatments that were available in 2003. Drug-related improvements in OS were, however, widely distributed across therapeutic targets-ranging between 0 (thyroid, ascites) and 8.48 months (breast cancers)-and were sometimes based on modeled data, indirect or nonactive comparisons, or nonvalidated evidence. Although 22 (42%) of 53 new medicines were associated with an increase in QoL, 24 (45%) were also associated with reduced patient safety. Of the 53 new cancer drugs, 42 (79%) were associated with at least some improvement in OS, QoL, or safety. CONCLUSIONS AND RELEVANCE: Although innovation in the oncology drug market has contributed to improvements in therapy, the magnitude and dimension of clinical benefits vary widely, and there may be reasons to doubt that claims of efficacy reflect real-world effectiveness exactly. These findings raise important questions for clinical decision-making and value-based policy.

Indexed as

Antineoplastic AgentsAustraliaDrug ApprovalEnglandFranceHumansNeoplasmsQuality of LifeSurvival AnalysisTechnology Assessment, BiomedicalUnited StatesUnited States Food and Drug AdministrationAntineoplastic Agents

Identifiers

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.