Evidence map›Paper›PMID 29196825›Full record

Trial reportEuropean journal of clinical pharmacology2018

Changes in prescription patterns in older hospitalized patients: the impact of FORTA on disease-related over- and under-treatments.

Farhad Pazan, Heinrich Burkhardt, Helmut Frohnhofen, Christel Weiss, Christina Throm, Alexandra Kuhn-Thiel, Martin Wehling

Abstract readMulticenter StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European journal of clinical pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
1.2field-weighted citation impact, top 22% of its field
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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Withdrawal of antihypertensive drugs in older people.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. [Concepts to improve medication safety in older patients].Innere Medizin (Heidelberg, Germany) · 2026
    Review
  8. [The FORTA (Fit fOR The Aged) List].Innere Medizin (Heidelberg, Germany) · 2024
    Review
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
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 at 5 institutions in 1 country.

Farhad PazanInstitute for Experimental and Clinical Pharmacology and Toxicology, Clinical Pharmacology, Medical Faculty Mannheim, Ruprecht-Karls-University Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Heinrich BurkhardtIV. Medical Department, Geriatrics, University Hospital Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Helmut FrohnhofenFaculty of Health, Department of Medicine, University Witten-Herdecke, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany.
Christel WeissDepartment of Medical Statistics, Biomathematics and Information Processing, Medical Faculty Mannheim, Heidelberg University, Ludolf-Krehl-Str. 13-16, 68167, Mannheim, Germany.
Christina ThromDepartment of Cardiology and Angiology, Agaplesion Markus Hospital, Wilhelm-Epstein-Str. 4, 60431, Frankfurt, Germany.
Alexandra Kuhn-ThielMEDIAN Klinik Sonnenwende, Sonnenwendstr. 86, 67098, Bad Dürkheim, Germany.
Martin WehlingInstitute for Experimental and Clinical Pharmacology and Toxicology, Clinical Pharmacology, Medical Faculty Mannheim, Ruprecht-Karls-University Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany. martin.wehling@medma.uni-heidelberg.de.
University Hospital Heidelberg · DEAgaplesion Markus Hospital · DEHeidelberg University · DEUniversity Medical Centre Mannheim · DEWitten/Herdecke University · DE

Funding

DFG German Research Foundation WE 1184/15-1
6 · The paper itself

Abstract

purposePhysicians often face difficulties in choosing appropriate medications for multimorbid older people. The FORTA (Fit for the Aged) classification (A: absolutely, B: beneficial, C: careful, D: don't) was proposed as a clinical tool for improving the quality of drug treatment in the aged. As an implicit tool, FORTA has been shown to aid medication optimization and improve clinical end points in the VALFORTA trial. In this prospective randomized controlled study, 207 older hospitalized patients received standard geriatric treatment and 202 patients received FORTA-guided treatment.

methodsHere, changes of drug prescriptions at the anatomical-therapeutic-chemical system (ATC) level were evaluated separately for important diagnoses in descriptive analyses; over- and under-treatment rates were compared between groups.

resultsAt the individual drug/drug class level related to all important diagnoses, the application of FORTA significantly improved under-treatments for 12 drugs/drug classes (e.g., ACE inhibitors to treat arterial hypertension) and over-treatments for 7 drugs/drug classes (e.g., proton pump inhibitors to treat gastroesophageal reflux disease).

conclusionsFORTA representing the first combined positive/negative labeling approach at the individual drug level aids the optimization of drug treatment in older people as detected for drugs/drug classes at the ATC level in important indications. FORTA is effective in addressing over- and under-treatments even if analyzed for smaller subgroups of VALFORTA.

Indexed as

Chronic DiseaseComorbidityDrug-Related Side Effects and Adverse ReactionsGeriatricsPolypharmacyPotentially Inappropriate Medication ListPractice Patterns, Physicians'AgedAged, 80 and overDrug MonitoringFemaleGermanyHealth Impact AssessmentHospitalizationHumansMaleFORTA listMedication optimizationOlder patientsPolypharmacy

Identifiers

PMID29196825
OpenAlexW2775530894

What OpenQuestion 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 OpenQuestion graph.