Evidence map›Paper›PMID 26159317›Full record

ArticleInternational journal of clinical pharmacy2015

Change in prescription pattern as a potential marker for adverse drug reactions of angiotensin converting enzyme inhibitors.

Seyed Hamidreza Mahmoudpour, Folkert W Asselbergs, Catherine E de Keyser, Patrick C Souverein, Albert Hofman, Bruno H Stricker, Anthonius de Boer, Anke-Hilse Maitland-van der Zee

Open access · hybridAbstract read
In one paragraph

Article in International journal of clinical pharmacy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 4 institutions in 2 countries.

Seyed Hamidreza MahmoudpourDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Universiteitsweg 99, David de Wied Building, 3508 TB, Utrecht, The Netherlands.
Folkert W AsselbergsDepartment of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, 3508 GA, Utrecht, The Netherlands.
Catherine E de KeyserDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Patrick C SouvereinDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Universiteitsweg 99, David de Wied Building, 3508 TB, Utrecht, The Netherlands.
Albert HofmanDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Bruno H StrickerDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Anthonius de BoerDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Universiteitsweg 99, David de Wied Building, 3508 TB, Utrecht, The Netherlands.
Anke-Hilse Maitland-van der ZeeDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Universiteitsweg 99, David de Wied Building, 3508 TB, Utrecht, The Netherlands. a.h.maitland@uu.nl.
Utrecht University · NLErasmus MC · NLErasmus University Rotterdam · NLUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAngiotensin converting enzyme inhibitors (ACEIs) are among the most frequently prescribed groups of medications. ACEI-induced adverse drug reactions (ADRs) are the main reason to discontinue or switch ACEI treatment. ADRs information is not available in prescription databases.

objectiveTo identify a proxy for ACEI-induced ADRs in prescription databases.

settingThe Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the Netherlands and has included 14,926 subjects aged 45 years or older.

methodsAll ACEI starters from 2000 to 2011 were identified using prescription data within the Rotterdam Study. Participants were classified into 4 mutually exclusive groups: continuing, discontinuing, switching to angiotensin receptor blockers (ARBs), and switching to other antihypertensives. For categorization, the maximum time-interval between two prescription periods was set at 3 and 6 months. Subsequently, primary care physician files were searched and clinical events were classified as definite ADRs, probable ADRs, possible ADRs and definite non-ADRs. Finally the accuracy of different prescription patterns as indicators of ADRs was evaluated. Main outcome measure Positive predictive values (PPVs), negative predictive values (NPVs), sensitivity and specificity of the prescription patterns of the 4 groups were calculated.

resultsTotally, 1132 ACEI starters were included. The PPV for a definite ADR was 56.1 % for switchers to ARB, while the PPVs for switchers to other antihypertensives, and discontinuation were 39.5 and 19.5 %, respectively. After including probable ADRs and possible ADRs, PPVs for switchers to ARB increased to 68.3 and 90.5 %. A 6-month interval gave slightly higher PPVs compared to a 3-month interval (maximum 6.1 % higher). The differences in NPVs between 3 and 6-months interval groups were approximately 1.0 %.

conclusionsSwitching ACEIs to ARBs is the best marker for ACEI-induced ADRs in prescription databases.

Indexed as

PharmacovigilanceAgedAged, 80 and overAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAntihypertensive AgentsFemaleHumansMaleMiddle AgedNetherlandsPractice Patterns, Physicians'PrescriptionsPrimary Health CareProspective StudiesReproducibility of ResultsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAntihypertensive AgentsACEIADRAdverse drug reactionAngiotensin converting enzyme inhibitorsElectronic healthcare databasePharmacoepidemiologyPharmacovigilancePositive predictive valuePPV

Identifiers

PMID26159317
PMCPMC4619457
OpenAlexW1883110769

What OpenQuestion holds

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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.