Evidence map›Paper›PMID 31077412›Full record

ReviewBritish journal of clinical pharmacology2019

The rationale of dose-response curves in selecting cancer drug dosing.

Jennifer H Martin, Simon Dimmitt

Abstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Review
  9. Article
  10. The rationale of dose-response curves in selecting cancer drug dosing.British journal of clinical pharmacology · 2019
    Review
  11. Article
  12. Susceptibility to adverse drug reactions.British journal of clinical pharmacology · 2019
    Review
  13. Generative AI - Assisted Adaptive Cancer Therapy.Cancer control : journal of the Moffitt Cancer Center
    Review
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

2 authors.

Jennifer H MartinUniversity of Newcastle. New South Wales, Australia.ORCID 0000-0002-8614-0199
Simon DimmittUniversity of Newcastle. New South Wales, Australia.ORCID 0000-0003-0093-4949

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug development for cancer chemotherapy has an interesting history. A mix of serendipity, animal, cell line, and standard pharmacological principles of dose, dose-response, dose-concentration, dose intensity and combination therapies have been used to develop optimal dosing schedules. However in practice, significant gaps in the translation of preclinical to clinical dosing schedules persist, and clinical development has instead moved to new drug development. A older chemotherapies are still the backbone of most solid tumour schedules, therapeutic drug monitoring has emerged as a method for optimising the dose for individual patients.

Indexed as

AnimalsAntineoplastic AgentsDose-Response Relationship, DrugDrug Administration ScheduleDrug DevelopmentDrug MonitoringHumansNeoplasmsAntineoplastic Agentsbody surface areacancerdose-responseflat dosinglog-dosesurrogate outcome

Identifiers

PMID31077412
PMCPMC6783605

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.