Evidence map›Paper›PMID 17786211›Full record

ArticlePloS one2007

The tell-tale heart: population-based surveillance reveals an association of rofecoxib and celecoxib with myocardial infarction.

John S Brownstein, Margarita Sordo, Isaac S Kohane, Kenneth D Mandl

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 9% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Guideline
  2. Review
  3. Article
  4. Article
  5. Review
  6. The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016
    Article
  7. Rediscovering drug side effects: the impact of analytical assumptions on the detection of associations in EHR data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015
    Article
  8. Supporting Multi-sourced Medication Information in i2b2.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Medication-wide association studies.CPT: pharmacometrics & systems pharmacology · 2013
    Article
  15. Article
  16. Pharmacovigilance using clinical notes.Clinical pharmacology and therapeutics · 2013
    Article
  17. Article
  18. Article
  19. Review
  20. 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 3 institutions in 1 country.

John S BrownsteinChildren's Hospital Informatics Program at the Harvard-MIT Division of Health Sciences and Technology, Boston, Massachusetts, United States of America. john_brownstein@harvard.edu
Margarita Sordo
Isaac S Kohane
Kenneth D Mandl
Brigham and Women's Hospital · USHarvard–MIT Division of Health Sciences and Technology · USHarvard University · US

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
Disease Surveillance in Real Time: Geotemporal MethodsR01LM007677 · NLM · CHILDREN'S HOSPITAL BOSTON · PI MANDL, KENNETH D. · 2003 to 2009
$2.9M
NLM NIH HHS 5U54LM008748-02.20NLM NIH HHS R01 LM007677NLM NIH HHS R01 LM007677-01NLM NIH HHS U54 LM008748PHS HHS 200510MFE-154492
6 · The paper itself

Abstract

backgroundCOX-2 selective inhibitors are associated with myocardial infarction (MI). We sought to determine whether population health monitoring would have revealed the effect of COX-2 inhibitors on population-level patterns of MI. METHODOLOGY/PRINCIPAL

findingsWe conducted a retrospective study of inpatients at two Boston hospitals, from January 1997 to March 2006. There was a population-level rise in the rate of MI that reached 52.0 MI-related hospitalizations per 100,000 (a two standard deviation exceedence) in January of 2000, eight months after the introduction of rofecoxib and one year after celecoxib. The exceedence vanished within one month of the withdrawal of rofecoxib. Trends in inpatient stay due to MI were tightly coupled to the rise and fall of prescriptions of COX-2 inhibitors, with an 18.5% increase in inpatient stays for MI when both rofecoxib and celecoxib were on the market (P<0.001). For every million prescriptions of rofecoxib and celecoxib, there was a 0.5% increase in MI (95%CI 0.1 to 0.9) explaining 50.3% of the deviance in yearly variation of MI-related hospitalizations. There was a negative association between mean age at MI and volume of prescriptions for celecoxib and rofecoxib (Spearman correlation, -0.67, P<0.05). CONCLUSIONS/SIGNIFICANCE: The strong relationship between prescribing and outcome time series supports a population-level impact of COX-2 inhibitors on MI incidence. Further, mean age at MI appears to have been lowered by use of these medications. Use of a population monitoring approach as an adjunct to pharmacovigilence methods might have helped confirm the suspected association, providing earlier support for the market withdrawal of rofecoxib.

Indexed as

Population SurveillanceCelecoxibCyclooxygenase InhibitorsHumansLactonesMyocardial InfarctionPyrazolesSulfonamidesSulfonesCelecoxibCyclooxygenase InhibitorsLactonesPyrazolesrofecoxibSulfonamidesSulfones

Identifiers

PMID17786211
PMCPMC1950690
OpenAlexW2119567793

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.