Evidence map›Paper›PMID 34221367›Full record

ReviewClinical kidney journal2021

Pharmacoepidemiology for nephrologists (part 1): concept, applications and considerations for study design.

Marco Trevisan, Edouard L Fu, Yang Xu, Kitty Jager, Carmine Zoccali, Friedo W Dekker, Juan Jesus Carrero

Abstract readReview
In one paragraph

Review in Clinical kidney journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Article
  5. Review
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

7 authors.

Marco TrevisanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.ORCID https://orcid.org/0000-0002-9578-0171
Edouard L FuDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-9698-6825
Yang XuDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Kitty JagerDepartment of Medical Informatics, ERA-EDTA Registry, Amsterdam University Medical Center, Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands.
Carmine ZoccaliCNR-IFC, Clinical Epidemiology of Renal Diseases and Hypertension, Reggio Calabria, Italy.
Friedo W DekkerDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Juan Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.ORCID https://orcid.org/0000-0003-4763-2024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomized controlled trials on drug safety and effectiveness are the foundation of medical evidence, but they may have limited generalizability and be unpowered to detect rare and long-term kidney outcomes. Observational studies in routine care data can complement and expand trial evidence on the use, safety and effectiveness of medications and aid with clinical decisions in areas where evidence is lacking. Access to routinely collected large healthcare data has resulted in the proliferation of studies addressing the effect of medications in patients with kidney diseases and this review provides an introduction to the science of pharmacoepidemiology to critically appraise them. In this first review we discuss the concept and applications of pharmacoepidemiology, describing methods for drug-utilization research and discussing the strengths and caveats of the most commonly used study designs to evaluate comparative drug safety and effectiveness.

Indexed as

adverse effectsbiostatisticsdrugsepidemiologynephrotoxicity

Identifiers

PMID34221367
PMCPMC8247736

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.