Evidence map›Paper›PMID 19450071›Full record

Trial reportJournal of medical economics2008

Feasibility of using administrative claims data for cost-effectiveness analysis of a clinical trial.

Andre Konski, Mythreyi Bhargavan, Jean Owen, Rebecca Paulus, Jay Cooper, Karen K Fu, Kian Ang, Deborah Watkins-Bruner

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical economics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Andre KonskiDepartment of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA. andre.konski@fccc.edu
Mythreyi Bhargavan
Jean Owen
Rebecca Paulus
Jay Cooper
Karen K Fu
Kian Ang
Deborah Watkins-Bruner

Funding

RTOG Foreign AccrualU10CA021661 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI CURRAN, WALTER J. · 1985 to 2013
$150.3M
RADIATION THERAPY ONCOLOGY GROUP-STATISTICAL UNIT GRANTU10CA032115 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI SADEK, RAMSES · 1985 to 2008
$9.4M
NCI NIH HHS U10 CA021661NCI NIH HHS U10 CA032115
6 · The paper itself

Abstract

objectiveThis study was performed retrospectively to determine if Medicare claims data could be used to evaluate the cost effectiveness, from a payer perspective, of different radiation treatment schedules evaluated in a national clinical trial.

methodsMedicare costs from all providers and all places of service were obtained from the Centers for Medicare & Medicaid Services for patients treated in the period 1992-1996 on Radiation Therapy Oncology Group 90-03, and combined with data on outcomes from the trial.

resultsOf the 1,113 patients entered, Medicare cost data and clinical outcomes were available for 187 patients. Significant differences in tolerance of treatment and outcome were noted between patients with Medicare data included in the study and patients without Medicare data, and non-Medicare patients excluded from it. Ninety-five percent confidence ellipses on the incremental cost-effectiveness scatterplots crossed both axes, indicating non-significant differences in cost effectiveness between radiation treatment schedules.

conclusionsClaims data permit estimation of cost effectiveness, but Medicare data provide inadequate representation of results applicable to patients from the general population.

Indexed as

Insurance Claim ReviewClinical Trials, Phase III as TopicCost-Benefit AnalysisCosts and Cost AnalysisFeasibility StudiesHead and Neck NeoplasmsHumansMedicareNeoplasms, Squamous CellRetrospective StudiesUnited States

Identifiers

PMID19450071
PMCPMC2885279

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.