Evidence map›Paper›PMID 35546588›Full record

ArticleThe American journal of managed care2022

Evaluating alternative methods of comparing antihypertensive treatment intensity.

Carole E Aubert, Chiao-Li Chan, Samuel W Terman, Timothy P Hofer, Jin-Kyung Ha, William C Cushman, Jeremy Sussman, Lillian Min

Abstract read
In one paragraph

Article in The American journal of managed care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Carole E AubertDepartment of General Internal Medicine, Bern University Hospital, Freiburgstrasse, 3010 Bern, Switzerland. Email: caroleelodie.aubert@insel.ch.
Chiao-Li Chan
Samuel W Terman
Timothy P Hofer
Jin-Kyung Ha
William C Cushman
Jeremy Sussman
Lillian Min

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
TRAINING IN CLINICAL AND BASIC NEUROSCIENCET32NS007222 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Henry L Paulson · 1985 to 2026
$8.0M
Physician Scientist Training in Age-Related DiseasesT32AG062403 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MIN, LILLIAN CHIANG, MODY, LONA · 2020 to 2025
$2.7M
Optimizing Treatment of Older Adults with Hypertension: A Net Benefit Analysis of Falls Injury vs Cardiovascular OutcomesR01AG047178 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MIN, LILLIAN CHIANG · 2015 to 2019
$1.7M
Assessing Hypertension Care for Aged Veterans: Balancing Risks and BenefitsI01HX001611 · VA · VETERANS HEALTH ADMINISTRATION · PI MIN, LILLIAN CHIANG · 2020 to 2020
–
HSRD VA I01 HX001611NIA NIH HHS P30 AG024824NIA NIH HHS R01 AG047178NIA NIH HHS T32 AG062403NINDS NIH HHS T32 NS007222
6 · The paper itself

Abstract

objectivesTo change blood pressure treatment, clinicians can modify medication count or dose. However, existing studies have measured count modification, which may miss clinically important dose change in the absence of count change. This research demonstrates how dose modification captures more information about management than medication count alone. STUDY

designRetrospective cohort study.

methodsWe included patients 65 years and older with established primary care at the Veterans Health Administration (July 2011-June 2013). We captured medication count and standardized dose change over 90 to 120 days using a validated pharmacy fill algorithm. We determined frequency of dose change without count change (and vice versa), no change in either, change in same direction ("concordant"), and change in opposite direction ("discordant"). We compared change according to systolic blood pressure (SBP) and compared concordance using a minimum threshold definition of dose change of at least 50% (instead of any change) of baseline dose modification.

resultsAmong 440,801 patients, 64.2% had dose change; 22.0%, count change; 35.6%, no change in either; 42.4%, dose change without count modification; and 0.2%, count change without dose modification. Discordance occurred in 2.1% of observations. Using the minimum threshold definition of change, 68.7% had no change in either dose or count. Treatment was more frequently changed at SBP greater than 140 mm Hg.

conclusionsMeasuring change in antihypertensive treatment using medication count frequently missed an isolated dose change in treatment modification and less often misclassified regimen modifications where there was no modification in total dose. In future research, measuring dose modification using our new algorithm would capture change in hypertension treatment intensity more precisely than current methods.

Indexed as

HypertensionPharmaceutical ServicesAntihypertensive AgentsBlood PressureHumansRetrospective StudiesAntihypertensive Agents

Identifiers

PMID35546588
PMCPMC10694801

What OpenQuestion holds

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Registered trials

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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.