Evidence map›Paper›PMID 35057765›Full record

ArticleBMC psychiatry2022

Pharmacist assessment of drug-gene interactions and drug-induced phenoconversion in major depressive disorder: a case report.

N M Del Toro-Pagán, A Matos, C Bardolia, V Michaud, J Turgeon, N S Amin

Abstract readCase Reports
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  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

6 authors.

N M Del Toro-PagánOffice of Translational Research and Residency Programs, Tabula Rasa HealthCare, 228 Strawbridge Drive, Moorestown, NJ, 08057, USA.
A MatosOffice of Translational Research and Residency Programs, Tabula Rasa HealthCare, 228 Strawbridge Drive, Moorestown, NJ, 08057, USA.
C BardoliaOffice of Translational Research and Residency Programs, Tabula Rasa HealthCare, 228 Strawbridge Drive, Moorestown, NJ, 08057, USA.
V MichaudPrecision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Lake Nona, FL, USA.
J TurgeonPrecision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Lake Nona, FL, USA.
N S AminOffice of Translational Research and Residency Programs, Tabula Rasa HealthCare, 228 Strawbridge Drive, Moorestown, NJ, 08057, USA. namin@carekinesis.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResponse to antidepressant therapy is highly variable among individuals. Pharmacogenomic (PGx) testing presents an opportunity to guide drug selection while optimizing therapy outcomes and/or decreasing the risk for toxicity. CASE PRESENTATION: A patient with multiple comorbidities, including severe major depressive disorder (MDD), experienced adverse drug events and undesirable response to multiple antidepressant medications (i.e., bupropion, escitalopram, and venlafaxine). A clinical pharmacist assessed significant drug-gene, drug-drug, and drug-drug-gene interactions as well as other clinical factors to provide recommendations for antidepressant therapy optimization.

conclusionThis case highlights the importance of PGx testing and the key role of pharmacists in identifying and mitigating drug-related problems and optimizing drug therapy in patients with MDD.

Indexed as

Major Depressive DisorderAntidepressive AgentsHumansPharmacistsPharmacogeneticsVenlafaxine HydrochlorideAntidepressive AgentsVenlafaxine HydrochlorideAntidepressantsCase reportCYP2C19CYP2D6PharmacogeneticsPharmacogenomics

Identifiers

PMID35057765
PMCPMC8772164

What OpenQuestion holds

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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.