Evidence map›Paper›PMID 24155837›Full record

ArticlePharmacy practice2012

An analysis of the warning letters issued by the FDA to pharmaceutical manufacturers regarding misleading health outcomes claims.

Satabdi Chatterjee, Harshali K Patel, Sujit S Sansgiry

Abstract read
In one paragraph

Article in Pharmacy practice, 2012. 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

3 authors.

Satabdi ChatterjeeDepartment of Clinical Sciences and Administration, College of Pharmacy, University of Houston . Houston ( United States ).
Harshali K Patel
Sujit S Sansgiry

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the number and type of warning letters issued by the US Food and Drug Administration (FDA) to pharmaceutical manufacturers for promotional violations.

methodsTwo reviewers downloaded, printed and independently evaluated warning letters issued by the FDA to pharmaceutical manufacturers from years 2003-2008. Misleading claims were broadly classified as clinical, Quality-of-Life (QoL), and economic claims. Clinical claims included claims regarding unsubstantiated efficacy, safety and tolerability, superiority, broadening of indication and/or omission of risk information. QoL claims included unsubstantiated quality of life and/or health-related quality of life claims. Economic claims included any form of claim made on behalf of the pharmaceutical companies related to cost superiority of or cost savings from the drug compared to other drugs in the market.

resultsIn the 6-year study period, 65 warning letters were issued by FDA, which contained 144 clinical, three QoL, and one economic claim. On an average, 11 warning letters were issued per year. Omission of risk information was the most frequently violated claim (30.6%) followed by unsubstantiated efficacy claims (18.6%). Warning letters were primarily directed to manufacturers of cardiovascular (14.6%), anti-microbial (14.6%), and CNS (12.5%) drugs. Majority of the claims referenced in warning letters contained promotional materials directed to physicians (57%).

conclusionsThe study found that misleading clinical outcome claims formed the majority of the promotional violations, and majority of the claims were directed to physicians. Since inadequate promotion of medications may lead to irrational prescribing, the study emphasizes the importance of disseminating reliable, credible, and scientific information to patients, and more importantly, physicians to protect public health.

Indexed as

Advertising as TopicDrug IndustryMarketingUnited StatesUnited States Food and Drug Administration

Identifiers

PMID24155837
PMCPMC3780498

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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.