Evidence map›Paper›PMID 23300367›Full record

ArticleCurrent oncology (Toronto, Ont.)2012

Improving the quality of abstract reporting for economic analyses in oncology.

M Y Ho, K K Chan, S Peacock, W Y Cheung

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 84% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

M Y HoDivision of Medical Oncology, BC Cancer Agency, Vancouver, BC.
K K Chan
S Peacock
W Y Cheung
BC Cancer Agency · CASunnybrook Health Science Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing cost of cancer drugs underscores the importance of economic analyses. Although guidelines for abstract reporting of randomized controlled studies and phase i trials are available, similar recommendations for conference abstracts of economic analyses are lacking. Our objectives were to identify items considered to be essential in abstracts of economic analyses;to evaluate the quality of abstracts submitted to the American Society of Clinical Oncology (asco), the American Society of Hematology (ash), and the International Society for Pharmacoeconomics and Outcomes Research (ispor) meetings; andto propose guidelines for future abstract reporting at conferences.

methodsHealth economic experts were surveyed and asked to rate each of 24 possible abstract elements on a 5-point Likert scale. A scoring system for abstract quality was devised based on elements with an average expert rating of 3.5 or greater. Abstracts for economic analyses from asco, ash, and ispor meetings were reviewed and assigned a quality score.

resultsOf 99 experts, 50 (51%) responded to the survey (average age: 53 years; 78% men; 54% from the United States, 28% from Europe, 18% from Canada). In total, 216 abstracts were reviewed: asco, 53%; ash, 14%; and ispor, 33%. The median quality score was 75, but notable deficiencies were observed. Cost perspective was reported in only 61% of abstracts, and time horizon was described in only 47%. Abstracts from recent years demonstrated better quality scores. We also observed disparities in quality scores for various cancer sites (p = 0.005).

conclusionsThe quality of conference abstracts for economic analyses in oncology has room for improvement. Abstracts may be enhanced using the guidelines derived from our survey of experts.

Indexed as

abstractsEconomic analysesoncologyquality

Identifiers

PMID23300367
PMCPMC3503674
OpenAlexW2120402634

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.