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Record W2144892874 · doi:10.1176/appi.pn.2014.10b3

Long-Term Use of Benzodiazepines May Be Linked to Alzheimer’s

2014· article· en· W2144892874 on OpenAlexaboutno aff
Vabren Watts

Bibliographic record

VenuePsychiatric News · 2014
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsnot available
Fundersnot available
KeywordsTerm (time)Medicine

Abstract

fetched live from OpenAlex

Back to table of contents Previous article Next article Clinical and Research NewsFull AccessLong-Term Use of Benzodiazepines May Be Linked to Alzheimer'sVabren WattsVabren WattsPublished Online:16 Oct 2014https://doi.org/10.1176/appi.pn.2014.10b3AbstractResearchers caution physicians to take more care when prescribing benzodiazepines.While research has shown an association between benzodiazepines and acute cognitive function, evidence for a link between the anxiolytic medications and an increased risk for certain neurocognitive disorders remains unclear. Kristo-Gothard Hunor/ShutterstockResearchers from the University of Bordeaux in France and the University of Montreal conducted a study to investigate the relationship between the risk for Alzheimer's disease (AD) and long-term exposure to benzodiazepines, as well as any potential dose-response relationship. "Prevalence of [benzodiazepines] use among elderly patients is consistently high in developed countries … [ranging] from 7 percent to 43 percent," noted the researchers. International guidelines recommend short-term use of the drug, mainly because of withdrawal symptoms that make discontinuation problematic; however, the study noted, use of benzodiazepines is often long term in older people."Somewhere along the way, the message got lost, and patients were allowed to use benzodiazepines for months and years," said Mohit P. Chopra, M.D., a member of APA's Council on Geriatric Psychiatry. Chopra, who was not involved with the study, told Psychiatric News that guidelines recommend that the anxiolytic and insomnia medicines are to be used on a daily basis for no longer than four to six weeks.In 2012, the American Geriatric Society (AGS) updated its list of potentially inappropriate drugs for older adults to include benzodiazepines, precisely because of cognitive side effects—yet, AGS reported, almost 50 percent of older adults who have been prescribed benzodiazepines continue to use such drugs without any formal monitoring system to indicate how they are responding to the drugs. In the current study, to highlight the potential consequences associated with long-term use of benzodiazepines on neurocognitive function in the elderly, the researchers gathered data from 1,796 people aged 66 and older with a first diagnosis for AD and 7,184 age-matched cognitively healthy controls. The study analyzed participants' prescription and medical records dating back six years prior to the AD diagnosis.The results, published in BMJ September 9, showed that use of benzodiazepines for three months or more was associated with an increased risk—up to 51 percent—for AD. The association increased even more with longer exposure. In addition, the use of long-acting forms of benzodiazepines increased risk for AD by 19 percent more than that of short-acting versions. The results were sustained after adjusting for anxiety, depression, and sleep disorders among the study subjects.The researchers concluded that benzodiazepines are "indisputably valuable tools for managing anxiety disorders and transient insomnia," but warned that treatment with these medications should be used within the time parameters set by international guidelines.Davangere Devanand, M.D., director of the geriatric psychiatry program at Columbia University, agreed with this recommendation."These findings emphasize the importance of restricting the use of benzodiazepines in the elderly population," said Devanand in an interview with Psychiatric News. "Benzodiazepines are known to be associated with an increased risk of worsening cognition … even in cognitively normal elderly subjects." Devanand said that in such situation, it would be would be best to taper and cease patients' use of the benzodiazepine while reevaluating cognition functioning. "If the cognitive decline is due to benzodiazepines, and the patient does not have an underlying dementia such as Alzheimer's disease, the cognitive decline should reverse after stopping the treatment." Devanand stressed that in order to ensure that prescribers are not putting their patients at risk for the onset of neurocognitive disorders, "benzodiazepines should be prescribed sparingly and for short periods." ■An abstract of "Benzodiazepine Use and Risk of Dementia: Prospective Population-Based Study" can be accessed here. ISSUES NewArchived

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.649

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.068
GPT teacher head0.328
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes1
Has abstractyes

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