Evidence map›Paper›PMID 22262598›Full record

SynthesisPharmacoepidemiology and drug safety2012

A systematic review of validated methods for identifying cerebrovascular accident or transient ischemic attack using administrative data.

Susan E Andrade, Leslie R Harrold, Jennifer Tjia, Sarah L Cutrona, Jane S Saczynski, Katherine S Dodd, Robert J Goldberg, Jerry H Gurwitz

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Pharmacoepidemiology and drug safety, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05904795 (Comparative Effects of Proprioceptive Neuromuscular Facilitation Strengthening Exercises and De-lorme and Watkins Exercises Program on Upper Limb Function and Strength in Chronic Stroke Patients), which is not on this map. Cited by 168 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed, 5 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.

NCT05904795 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Comparative Effects of Proprioceptive Neuromuscular Facilitation Strengthening Exercises and De-lorme and Watkins Exercises Program on Upper Limb Function and Strength in Chronic Stroke Patients

TypeinterventionalSponsorRiphah International UniversityRan2023 to 2023Enrolled20ConditionsUpper Extremity ParesisArmsPNF strengthening exercises, de-lorme and watkins exercises
3 · Its place in the literature

Who cites it

168 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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108 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

8 authors.

Susan E AndradeMeyers Primary Care Institute (Reliant Medical Group, Fallon Community Health Plan, and University of Massachusetts Medical School), Worcester, MA 01605, USA. sandrade@meyersprimary.org
Leslie R Harrold
Jennifer Tjia
Sarah L Cutrona
Jane S Saczynski
Katherine S Dodd
Robert J Goldberg
Jerry H Gurwitz

Funding

TRACE-COREU01HL105268 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2010 to 2013
$5.8M
University of Massachusetts Center for Clinical and Translational ScienceKL2RR031981 · NCRR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SULLIVAN, JOHN LEWIS · 2010 to 2011
$1.2M
Assessing and Improving Arthritis Medication Adherence: Gout as a ModelK23AR053856 · NIAMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HARROLD, LESLIE R · 2007 to 2011
$641k
Medical Illness & Cognitive Impairment in Older Adults: Heart Failure as a ModelK01AG033643 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SACZYNSKI, JANE STEELE · 2010 to 2014
$628k
Psychosocial Factors and Rehospitalization after Acute Myocardial InfarctionR21HL108187 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SACZYNSKI, JANE STEELE · 2011 to 2012
$452k
FDA HHS HHSF223200910006INCRR NIH HHS KL2 RR031981NCRR NIH HHS KL2RR031981NHLBI NIH HHS R21 HL108187NHLBI NIH HHS U01 HL105268NIAMS NIH HHS K23 AR053856NIAMS NIH HHS K23AR053856NIA NIH HHS K01 AG033643NIA NIH HHS K01 AG33643
6 · The paper itself

Abstract

purposeTo perform a systematic review of the validity of algorithms for identifying cerebrovascular accidents (CVAs) or transient ischemic attacks (TIAs) using administrative and claims data.

methodsPubMed and Iowa Drug Information Service searches of the English language literature were performed to identify studies published between 1990 and 2010 that evaluated the validity of algorithms for identifying CVAs (ischemic and hemorrhagic strokes, intracranial hemorrhage, and subarachnoid hemorrhage) and/or TIAs in administrative data. Two study investigators independently reviewed the abstracts and articles to determine relevant studies according to pre-specified criteria.

resultsA total of 35 articles met the criteria for evaluation. Of these, 26 articles provided data to evaluate the validity of stroke, seven reported the validity of TIA, five reported the validity of intracranial bleeds (intracerebral hemorrhage and subarachnoid hemorrhage), and 10 studies reported the validity of algorithms to identify the composite endpoints of stroke/TIA or cerebrovascular disease. Positive predictive values (PPVs) varied depending on the specific outcomes and algorithms evaluated. Specific algorithms to evaluate the presence of stroke and intracranial bleeds were found to have high PPVs (80% or greater). Algorithms to evaluate TIAs in adult populations were generally found to have PPVs of 70% or greater.

conclusionsThe algorithms and definitions to identify CVAs and TIAs using administrative and claims data differ greatly in the published literature. The choice of the algorithm employed should be determined by the stroke subtype of interest.

Indexed as

AlgorithmsValidation Studies as TopicAdultDatabases, FactualHumansIschemic Attack, TransientOutcome Assessment, Health CarePredictive Value of TestsStroke

Identifiers

PMID22262598
PMCPMC3412674

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.