Evidence map›Paper›PMID 27034772›Full record

ArticleTherapeutic advances in drug safety2016

Drug-induced falls in older persons: is there a role for therapeutic drug monitoring?

Klaas A Hartholt, Matthijs L Becker, Tischa J M van der Cammen

Open access · bronzeAbstract read
In one paragraph

Article in Therapeutic advances in drug safety, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.7field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
  5. Factors associated with falls in older adults with cancer: a validated model from the Cancer and Aging Research Group.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
    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

3 authors at 2 institutions in 1 country.

Klaas A HartholtDepartment of Surgery-Traumatology, Renier de Graaf Group, Delft, The Netherlands.
Matthijs L BeckerDepartment of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, The Netherlands.
Tischa J M van der CammenSection of Geriatric Medicine, Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, The Netherlands.
Erasmus MC · NLReinier de Graaf Hospital · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are the leading cause of injuries among older persons. Because of ageing societies worldwide, falls are expected to become a prominent public health problem. The usage of several types of drugs has been associated with an increased fall and fracture risk. In order to reduce future falls, preventative measures are needed. Therapeutic drug monitoring may help to identify persons who are at risk for falls due to drug use. The aim was to demonstrate how drugs can contribute to falls and the role of therapeutic drug monitoring.

methodsWe present a descriptive case series of four patients.

resultsAll patients were referred to the geriatric outpatient clinic of a university medical center. The presented cases contained different underlying mechanisms contributing to an increased fall risk in older adults, including renal failure, genetic variation, overdose and ageing. CONCLUSION/DISCUSSION: Older adults are more prone to the side effects of drug use, including falls. Therapeutic drug monitoring may be useful to identify the patients who have an increased drug-related fall risk and to prevent future falls by individualizing the drug regime.

Indexed as

fallsgeriatric patientstherapeutic drug monitoring

Identifiers

PMID27034772
PMCPMC4785859
OpenAlexW2325864410

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.