Evidence map›Paper›PMID 42601793›Full record

ReviewPharmacology research & perspectives2026

Mechanism-Informed Pharmacotherapy Optimization and Deprescribing: A Redox-Mitochondrial Framework.

Boštjan Martinc

Abstract readReview
In one paragraph

Review in Pharmacology research & perspectives, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Boštjan MartincUniversity Rehabilitation Institute Republic of Slovenia (URI Soča), Ljubljana, Slovenia.ORCID https://orcid.org/0009-0001-5056-9671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contemporary pharmacotherapy has improved disease-specific outcomes, but prescribing for multimorbidity remains largely guideline-driven, endpoint-focused, and insufficiently sensitive to cumulative treatment burden in patients with limited physiological reserve. Mitochondrial dysfunction and redox imbalance are shared biological processes that shape disease vulnerability, adaptive capacity, and susceptibility to drug-related toxicity; however, they are rarely operationalized in medication review or deprescribing. This mechanism-informed narrative review integrates mechanistic, translational, and clinical literature on redox-mitochondrial biology, drug-class-specific mitochondrial liabilities, polypharmacy, frailty, and deprescribing, with searches conducted through 2024 and targeted updates through June 2026. Primary clinical and preclinical examples are used to illustrate pharmacological plausibility for selected drug classes, and structured tables and a prioritization algorithm translate these concepts into pragmatic medication-review signals. We propose redox-mitochondrial reasoning as a complementary lens for interpreting treatment intolerance, functional decline, and cumulative medication burden as possible evidence of mismatch between pharmacological exposure and a patient's adaptive capacity. The proposed framework is explicitly conceptual: its vulnerability strata, algorithm, and decision categories are heuristic aids rather than validated clinical prediction instruments. It should therefore be used only alongside established deprescribing tools, individualized benefit-harm assessment, and shared decision-making.

Indexed as

DeprescriptionsMitochondriaAlgorithmsAnimalsDrug-Related Side Effects and Adverse ReactionsHumansOxidation-ReductionPolypharmacydeprescribingfrailtymedication burdenmitochondrial dysfunctionmultimorbidityoxidative stresspharmacotherapy optimizationpolypharmacy

Identifiers

PMID42601793
PMCPMC13476527

What Socratic 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 Socratic graph.