Evidence map›Paper›PMID 31637695›Full record

ArticleClinical pharmacology and therapeutics2020

The Self-Controlled Case Series Design as a Viable Alternative to Studying Clinically Relevant Drug Interactions.

Meijia Zhou, Charles E Leonard, Warren B Bilker, Sean Hennessy

Abstract readLetterComment
In one paragraph

Article in Clinical pharmacology and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Meijia ZhouCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Charles E LeonardCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Warren B BilkerCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sean HennessyCenter for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

Clinical Importance of Drug-Drug InteractionsR01AG025152 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2006 to 2021
$8.1M
Drug interactions involving psychoactive drugsR01AG060975 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Charles Edward Leonard · 2019 to 2026
$3.9M
Drug-Drug Interactions Involving Methadone and BuprenorphineR01DA048001 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN · 2019 to 2023
$2.9M
Drug-Drug Interactions Involving Antidiabetic AgentsR01DK102694 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2014 to 2017
$2.4M
NIA NIH HHS R01 AG025152NIA NIH HHS R01 AG060975NIDA NIH HHS R01 DA048001NIDDK NIH HHS R01 DK102694
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Delivery of Health CareResearch DesignDrug InteractionsHumans

Identifiers

PMID31637695
PMCPMC7560961

What OpenQuestion holds

Textmetadata
LicenceTDM
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.