Evidence map›Paper›PMID 21301985›Full record

ReviewJournal of general internal medicine2011

Conducting high-value secondary dataset analysis: an introductory guide and resources.

Alexander K Smith, John Z Ayanian, Kenneth E Covinsky, Bruce E Landon, Ellen P McCarthy, Christina C Wee, Michael A Steinman

Abstract readReview
In one paragraph

Review in Journal of general internal medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Predictive Associations of Music, Anxiety, and Sedative Exposure on Mechanical Ventilation Weaning Trials.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2017
    Trial
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  5. Article
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  12. Contracture Severity at Hospital Discharge in Children: A Burn Model System Database Study.Journal of burn care & research : official publication of the American Burn Association · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Disposal of prescription drugs by parents of middle and high school students.Journal of child & adolescent substance abuse · 2019
    Article
  17. Article
  18. Review
  19. Article
  20. 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

7 authors.

Alexander K SmithDepartment of Medicine, University of California, San Francisco, CA, USA. aksmith@ucsf.edu
John Z Ayanian
Kenneth E Covinsky
Bruce E Landon
Ellen P McCarthy
Christina C Wee
Michael A Steinman

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Midcareer Mentoring Award for Patient-Oriented Research in AgingK24AG029812 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COVINSKY, KENNETH E. · 2007 to 2017
$1.8M
Depressive Symptoms, Aging, Disability and Health OutcomesR01AG028481 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI COVINSKY, KENNETH E. · 2007 to 2009
$1.2M
Patient Oriented Research and Mentorship Program in ObesityK24DK087932 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI WEE, CHRISTINA C · 2011 to 2015
$955k
Guideline Adherence in Elders With Multiple ComorbiditiesK23AG030999 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEINMAN, MICHAEL A. · 2008 to 2010
$391k
NCRR NIH HHS UL1 RR024131NIA NIH HHS K23 AG030999NIA NIH HHS K24 AG029812NIA NIH HHS R01 AG028481NIA NIH HHS R01AG028481NIDDK NIH HHS K24 DK087932
6 · The paper itself

Abstract

Secondary analyses of large datasets provide a mechanism for researchers to address high impact questions that would otherwise be prohibitively expensive and time-consuming to study. This paper presents a guide to assist investigators interested in conducting secondary data analysis, including advice on the process of successful secondary data analysis as well as a brief summary of high-value datasets and online resources for researchers, including the SGIM dataset compendium ( www.sgim.org/go/datasets ). The same basic research principles that apply to primary data analysis apply to secondary data analysis, including the development of a clear and clinically relevant research question, study sample, appropriate measures, and a thoughtful analytic approach. A real-world case description illustrates key steps: (1) define your research topic and question; (2) select a dataset; (3) get to know your dataset; and (4) structure your analysis and presentation of findings in a way that is clinically meaningful. Secondary dataset analysis is a well-established methodology. Secondary analysis is particularly valuable for junior investigators, who have limited time and resources to demonstrate expertise and productivity.

Indexed as

Biomedical ResearchDatabases, FactualHumansInternetPractice Guidelines as Topic

Identifiers

PMID21301985
PMCPMC3138974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.