Evidence map›Paper›PMID 17554243›Full record

ReviewClinical pharmacology and therapeutics2007

Developments in post-marketing comparative effectiveness research.

S Schneeweiss

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
–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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  18. Ethics and Collateral Findings in Pragmatic Clinical Trials.The American journal of bioethics : AJOB · 2020
    Article
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  20. Article

3 more citing papers are in PubMed but not listed here.

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

1 author.

S SchneeweissDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA. schneeweiss@post.harvard.edu

Funding

Analyzing Complex Healthcare Data to Determine Causality of Observed Drug EffectsR01LM010213 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHNEEWEISS, SEBASTIAN G. · 2009 to 2012
$1.6M
Effects of income-based drug charges on older PatientsR01AG021950 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHNEEWEISS, SEBASTIAN G. · 2003 to 2006
$1.3M
CONSEQUENCES OF DRUG COST SHARING IN THE ELDERLYR01HS010881 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHNEEWEISS, SEBASTIAN G. · 2000 to 2006
$263k
AHRQ HHS 2-R01-HS10881AHRQ HHS R01 HS010881NIA NIH HHS R01 AG021950NIA NIH HHS R01-AG021950NLM NIH HHS R01 LM010213
6 · The paper itself

Abstract

Physicians and insurers need to weigh the effectiveness of new drugs against existing therapeutics in routine care to make decisions about treatment and formularies. Because Food and Drug Administration (FDA) approval of most new drugs requires demonstrating efficacy and safety against placebo, there is limited interest by manufacturers in conducting such head-to-head trials. Comparative effectiveness research seeks to provide head-to-head comparisons of treatment outcomes in routine care. Health-care utilization databases record drug use and selected health outcomes for large populations in a timely way and reflect routine care, and therefore may be the preferred data source for comparative effectiveness research. Confounding caused by selective prescribing based on indication, severity, and prognosis threatens the validity of non-randomized database studies that often have limited details on clinical information. Several recent developments may bring the field closer to acceptable validity, including approaches that exploit the concepts of proxy variables using high-dimensional propensity scores, within-patient variation of drug exposure using crossover designs, and between-provider variation in prescribing preference using instrumental variable (IV) analyses.

Indexed as

Research DesignClinical Trials as TopicDrug UtilizationHumansModels, TheoreticalPharmacoepidemiologyProduct Surveillance, PostmarketingTreatment Outcome

Identifiers

PMID17554243
PMCPMC2905665

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.