ArticleJournal of general internal medicine2003
The quantity and quality of scientific graphs in pharmaceutical advertisements.
Article in Journal of general internal medicine, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Healthcare providers' understanding of data displays of clinical trial information: a scoping review of the literature.Journal of communication in healthcare · 2023Article
- Complexity of Data Displays in Prescription Drug Advertisements for Healthcare Providers.Therapeutic innovation & regulatory science · 2023Article
- Potential Allergenicity of Plants Used in Allergological Communication: An Untapped Tool for Prevention.Plants (Basel, Switzerland) · 2023Article
- The Graph Rubric: Development of a Teaching, Learning, and Research Tool.CBE life sciences education · 2018Article
- How are risk ratios reported in orthopaedic surgery journals? A descriptive study of formats used to report absolute risks.BMJ open · 2018Article
- A Critical Analysis of Claims and Their Authenticity in Indian Drug Promotional Advertisements.Advances in medicine · 2015Article
- Analysis of written advertising material distributed through community pharmacies in Riyadh, Saudi Arabia.Pharmacy practice · 2013Article
- Evaluation of rationality of promotional drug literature using World Health Organization guidelines.Indian journal of pharmacology · 2010Article
- Soft targets: nurses and the pharmaceutical industry.PLoS medicine · 2008Review
- The availability of references and the sponsorship of original research cited in pharmaceutical advertisements.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2005Article
- Pharma's bad karma. Resistance is not futile.Journal of general internal medicine · 2003Article
- Conflicts between commercial and scientific interests in pharmaceutical advertising for medical journals.International journal of health services : planning, administration, evaluation · 2003Article
- A study of perceptions and exposure of drug promotional literature among clinicians in a teaching hospital.Perspectives in clinical researchArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We characterized the quantity and quality of graphs in all pharmaceutical advertisements, in the 10 U.S. medical journals. Four hundred eighty-four unique advertisements (of 3,185 total advertisements) contained 836 glossy and 455 small-print pages. Forty-nine percent of glossy page area was nonscientific figures/images, 0.4% tables, and 1.6% scientific graphs (74 graphs in 64 advertisements). All 74 graphs were univariate displays, 4% were distributions, and 4% contained confidence intervals for summary measures. Extraneous decoration (66%) and redundancy (46%) were common. Fifty-eight percent of graphs presented an outcome relevant to the drug's indication. Numeric distortion, specifically prohibited by FDA regulations, occurred in 36% of graphs.
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What OpenQuestion holds
Registered trials
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.