Evidence map›Paper›PMID 41563460›Full record

ArticleInnere Medizin (Heidelberg, Germany)2026

[Why represcribing instead of deprescribing?]

Farhad Pazan, Martin Wehling

Abstract readEnglish Abstract
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In one paragraph

Article in Innere Medizin (Heidelberg, Germany), 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

2 authors.

Farhad PazanEhem. Klinische Pharmakologie Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland.
Martin WehlingEhem. Klinische Pharmakologie Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland. martin.wehling@vodafone.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDemographic change is leading to an ever-increasing prevalence of multimorbidity and polypharmacy. At the same time, older people are excluded from randomized controlled approval studies. Due to this age-blind approach, there is a lack of evidence regarding the efficacy, safety, and suitability for older people of many drugs used by the main consumers of medicinal products. To solve this problem, many different list approaches and tools have been developed, often using a combination of existing evidence and expert opinion. MATERIALS AND

methodsA narrative evaluation of deprescribing and represcribing was conducted based on current literature.

resultsMost of the tools developed focus on discontinuing potentially inappropriate medication (PIM; i.e., deprescribing) and disregard the patient's clinical condition and the need for useful age-appropriate medication or potentially omitted medication (POM). Represcribing is a further development that encompasses both the deprescribing of PIMs and the prescribing of POMs that are useful and safe for older people. Clinical validation of available tools in a few randomized controlled trials with relevant clinical endpoints, such as the occurrence of adverse drug reactions, suggests that represcribing is more feasible and successful than deprescribing.

conclusionThe goal of age-appropriate drug therapy in geriatric patients should not only be to reduce the number of medications or eliminate polypharmacy, but also to transition from poor polypharmacy to good polypharmacy through individualization and represcribing.

Indexed as

DeprescriptionsInappropriate PrescribingPotentially Inappropriate Medication ListAgedAged, 80 and overHumansPolypharmacyBeers criteriaGeriatric health careInappropriate medicationsMultimorbidityPolypharmacy

Identifiers

What OpenQuestion holds

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Registered trials

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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.