Evidence map›Paper›PMID 31368080›Full record

ArticleDrug safety2019

A Novel Approach to Visualize Risk Minimization Effectiveness: Peeping at the 2012 UK Proton Pump Inhibitor Label Change Using a Rapid Cycle Analysis Tool.

Rachel E Sobel, William Blackwell, David M Fram, Andrew Bate

Abstract read
PubMed Publisher
In one paragraph

Article in Drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

4 authors at 2 institutions in 1 country.

Rachel E SobelEpidemiology/Worldwide Research and Development, Pfizer Inc, 235 East 42nd St. MS# 219-9-1, New York, NY, 10017, USA. RachelSobel17@gmail.com.ORCID http://orcid.org/0000-0002-4492-9562
William BlackwellCommonwealth Informatics Inc, a Genpact Company, Waltham, MA, USA.
David M FramCommonwealth Informatics Inc, a Genpact Company, Waltham, MA, USA.
Andrew BateEpidemiology/Worldwide Research and Development, Pfizer Inc, 235 East 42nd St. MS# 219-9-1, New York, NY, 10017, USA.ORCID http://orcid.org/0000-0003-3151-3653
Commonwealth Computer Research (United States) · USPfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEvaluation of risk minimization (RM) actions is an emerging area of regulatory science, often without tools to rapidly and systematically assess their effectiveness. PURPOSE: The aim of this study was to evaluate whether chronographs, typically used for rapid signal detection in observational longitudinal databases, could be used to visualize RM effectiveness. We evaluated the UK Medicines and Healthcare products Regulatory Agency (MHRA) 2012 proton-pump inhibitors (PPIs) class-wide label change that warned of increased risk of bone fracture, advocated to limit duration of use, and recommended to treat those at risk for osteoporosis according to clinical guidelines.

methodsThe cohort consisted of adults aged 18 years and above prescribed one of the five PPIs available in the UK The Health Improvement Network (THIN) database through September 2015. Four chronographs were compared using drug episodes that started before (PRE) and after (POST) the 20 April 2012 MHRA warning; fracture and osteoporosis were evaluated separately. Chronographs show a measure of observed/expected events, the Information Component (IC) and 95% credibility interval (CI), calculated at monthly time intervals relative to the start date of a prescription, and summed to estimate IC over a 3-year period; IC > 0 indicates observed > expected events. We hypothesized that chronographs may assess RM effectiveness if stratified by PRE/POST an RM intervention such as a label change.

resultsThere were 1,588,973 and 664,601 PPI users in the PRE and POST periods, respectively. We observed a 4.6% reduction in the proportion of long-term PPI episodes and a 4.1% reduction in the overall proportion of the THIN population using PPIs. Compared with the PRE chronographs, when both visually comparing and when examining the summed ICs for fracture in the POST period, a significant reduction was observed overall (IC = 0.024 [95% CI 0.015 to 0.33] PRE vs - 0.141 [95% CI - 0.162 to - 0.120] POST), suggesting less observed events than expected, and prior to PPI start, suggestive of strong channeling (IC = - 0.027 [95% CI - 0.037 to - 0.017] PRE vs - 0.291 [95% CI - 0.308 to - 0.274] POST). Results were qualitatively similar for osteoporosis.

conclusionsThis pilot demonstrated a novel application of a visual, rapid analysis technique to assess RM effectiveness, and supported a hypothesis that prescribers altered some behaviors after the MHRA label change, such as channeling patients at risk of fracture or osteoporosis away from PPI use and potentially reducing fracture outcomes. Limitations include lack of confounding control and outcomes defined only by diagnosis code. Results demonstrate the potential to use large healthcare databases with chronographs to rapidly assess RM effectiveness, similar to signal detection in pharmacovigilance, and may help design more comprehensive RM evaluation studies.

Indexed as

Data DisplayDrug LabelingProduct Surveillance, PostmarketingAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedProton Pump InhibitorsRetrospective StudiesProton Pump Inhibitors

Identifiers

PMID31368080
OpenAlexW2966309846

What OpenQuestion holds

Textmetadata
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.