Evidence map›Paper›PMID 21312073›Full record

ReviewCurrent rheumatology reports2011

Potential and pitfalls of using large administrative claims data to study the safety of osteoporosis therapies.

Jie Zhang, Huifeng Yun, Nicole C Wright, Meredith Kilgore, Kenneth G Saag, Elizabeth Delzell

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Association between teriparatide adherence and healthcare utilization and costs in real-world US kyphoplasty/vertebroplasty patients.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2013
    Article
  10. Article
  11. Article
  12. Article
  13. 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

6 authors.

Jie ZhangDepartment of Epidemiology and Health Services/Comparative Effectiveness Research Training Program, University of Alabama at Birmingham, 1665 University Boulevard, RPHB 517B, Birmingham, AL 35294, USA jszhang@uab.edu
Huifeng Yun
Nicole C Wright
Meredith Kilgore
Kenneth G Saag
Elizabeth Delzell

Funding

UAB Health Services Research (HSR) Training ProgramT32HS013852 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEVITAN, EMILY B, MUGAVERO, MICHAEL J · 2003 to 2024
$8.0M
Mid-Career Investigator Award (for Kenneth G. Saag, MD, MSc)K24AR052361 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2005 to 2014
$1.7M
UAB T32 In Comparative Effectiveness ResearchT32HS019463 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2010 to 2010
$564k
AHRQ HHS T32HS013852AHRQ HHS T32 HS019463NIAMS NIH HHS K24 AR052361
6 · The paper itself

Abstract

Long-term bisphosphonate use may be associated with several rare adverse events. Such associations are not optimally evaluated in conventional randomized controlled trials due to the requirements of large numbers of patients and long-term follow-up. Alternatively, administrative claims data from various sources such as Medicare have been used. Because claims data are collected for billing and reimbursement purposes, they have limitations, including uncertain diagnostic validity and lack of detailed clinical information. Using such data for pharmacoepidemiologic research requires complex methodologies that may be less familiar to many researchers and clinicians. In this review, we discuss the strengths and limitations of using claims data for osteoporosis drug safety research, summarize recent advancements in methodologies that may be used to address the limitations, and present directions for future research using claims data.

Indexed as

Databases, FactualData CollectionDrug-Related Side Effects and Adverse ReactionsBone Density Conservation AgentsEsophageal NeoplasmsFractures, SpontaneousHumansInsurance Claim ReportingJaw DiseasesMedicareOsteonecrosisOsteoporosisOutcome Assessment, Health CareUnited StatesBone Density Conservation Agents

Identifiers

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.