Evidence map›Paper›PMID 22626736›Full record

ArticleBMJ quality & safety2012

Signal and noise: applying a laboratory trigger tool to identify adverse drug events among primary care patients.

Stacey Brenner, Alissa Detz, Andrea López, Claire Horton, Urmimala Sarkar

Open access · hybridAbstract read
In one paragraph

Article in BMJ quality & safety, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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  8. Global Trigger Tool: Proficient Adverse Drug Reaction Autodetection Method in Critical Care Patient Units.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
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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

5 authors at 3 institutions in 1 country.

Stacey BrennerDivision of General Internal Medicine, San Francisco General Hospital, University of California, San Francisco, San Francisco, CA 94110, USA.
Alissa Detz
Andrea López
Claire Horton
Urmimala Sarkar
San Francisco General Hospital · USUniversity of California, San Francisco · USCalifornia Pacific Medical Center · US

Funding

CTSA: K12 COMPONENTKL2RR024130 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$19.3M
Interactive HIT to Promote Ambulatory Safety among Vulnerable Diabetes PatientsK08HS017594 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SARKAR, URMIMALA · 2008 to 2012
$685k
AHRQ HHS K08 HS017594NCRR NIH HHS KL2 RR024130NCRR NIH HHS KL2RR024130
6 · The paper itself

Abstract

backgroundThe extent of outpatient adverse drug events (ADEs) remains unclear. Trigger tools are used as a screening method to identify care episodes that may be ADEs, but their value in a population with high chronic-illness burden remains unclear.

methodsThe authors used six abnormal laboratory triggers for detecting ADEs among adults in outpatient care. Eligible patients were included if they were >18 years, sought primary or urgent care between November 2008 and November 2009 and were prescribed at least one medication. The authors then used the clinical / administrative database to identity patients with these triggers. Two physicians conducted in-depth chart review of any medical records with identified triggers.

resultsThe authors reviewed 1342 triggers representing 622 unique episodes among 516 patients. The trigger tool identified 91 (15%) ADEs. Of the 91 ADEs included in the analysis, 49 (54%) occurred during medication monitoring, 41 (45%) during patient self-administration, and one could not be determined. 96% of abnormal international normalised ratio triggers were ADEs, followed by 12% of abnormal blood urea nitrogen triggers, 9% of abnormal alanine aminotransferase triggers, 8% of abnormal serum creatinine triggers and 3% of aspartate aminotransferase triggers.

conclusionsThe findings imply that other tools such as text triggers or more complex automated screening rules, which combine data hierarchically are needed to effectively screen for ADEs in chronically ill adults seen in primary care.

Indexed as

AdultAgedDrug-Related Side Effects and Adverse ReactionsElectronic Health RecordsFemaleHematologic TestsHumansMaleMass ScreeningMiddle AgedPredictive Value of TestsPrimary Health CareQuality of Health CareRetrospective Studies

Identifiers

PMID22626736
PMCPMC3402751
OpenAlexW2125230627

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.