An opportunity for clinical pharmacology trained physicians to improve patient drug safety: A retrospective analysis of adverse drug reactions in teenagers.

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.

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.

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

1. Contributions of Pharmacovigilance to the Understanding of Risks Associated with Ibuprofen: Descriptive and Disproportionality Analysis Using FAERS Data.Pharmaceuticals (Basel, Switzerland) · 2026
   Article
2. Head-to-Head Comparison of Sedation and Somnolence Among 37 Antipsychotics in Schizophrenia, Bipolar Disorder, Major Depression, Autism Spectrum Disorders, Delirium, and Repurposed in COVID-19, Infectious Diseases, and Oncology From the FAERS, 2004-2020.Frontiers in pharmacology · 2021
   Article
3. The Contribution of Clinical Pharmacologists in Precision Medicine: An Opportunity for Health Care Improvement.Current therapeutic research, clinical and experimental · 2021
   Review
4. Association of sleep among 30 antidepressants: a population-wide adverse drug reaction study, 2004-2019.PeerJ · 2020
   Article
5. Optimizing drug selection in psychopharmacology based on 40 significant CYP2C19- and CYP2D6-biased adverse drug reactions of selective serotonin reuptake inhibitors.PeerJ · 2019
   Article
6. Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learning.F1000Research · 2018
   Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

2 authors at 2 institutions in 3 countries.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

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