Evidence map›Paper›PMID 32718926›Full record

ArticleBMJ open2020

Association between prescribed central nervous system depressant drugs, comorbidity and cognition among hospitalised older patients: a cross-sectional study.

Tahreem Ghazal Siddiqui, Socheat Cheng, Michael Gossop, Espen Saxhaug Kristoffersen, Ramune Grambaite, Christofer Lundqvist

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 25% 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.

NCT03162081 active not recruitingnot on this map

Medication Misuse and Dependence in Elderly Patients

Typeobservational_patient_registrySponsorUniversity Hospital, AkershusRan2017 to 2024Enrolled500ConditionsMild Cognitive Impairment, Elderly, Substance-Related DisordersArmsSubstance misuse screening, EQ-5D, Impulsivity screening, Cognitive screening, Functional tests
NCT06032715 narecruitingnot on this mapstarted 2023, after this paper: background citation

Brief Intervention for Reducing Prolonged Use of Sleep Medication Among Elderly

TypeinterventionalSponsorUniversity Hospital, AkershusRan2023 to 2025Enrolled120ConditionsHarmful Use of HypnoticArmsBI (Brief Intervention)
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 16 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Tahreem Ghazal SiddiquiHealth Services Research Unit (HØKH), Akershus University Hospital, Lorenskog, Norway tahs@ahus.no.ORCID 0000-0002-8404-0610
Socheat ChengHealth Services Research Unit (HØKH), Akershus University Hospital, Lorenskog, Norway.ORCID 0000-0003-2277-7585
Michael GossopCentre for Addiction Research, King's College London, London, UK.
Espen Saxhaug KristoffersenHealth Services Research Unit (HØKH), Akershus University Hospital, Lorenskog, Norway.ORCID 0000-0002-8999-5424
Ramune GrambaiteHealth Services Research Unit (HØKH), Akershus University Hospital, Lorenskog, Norway.
Christofer LundqvistHealth Services Research Unit (HØKH), Akershus University Hospital, Lorenskog, Norway.ORCID 0000-0002-2596-9876
University of Oslo · NOKing's College London · GBNorwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCentral nervous system depressants (CNSDs) such as opioids, benzodiazepine and Z-hypnotics are commonly used. However, CNSDs may influence cognitive function, especially in older hospitalised patients with comorbidities. The aim was to examine the association between CNSD use and cognitive function in older patients. We assessed global and domain specific cognitive function, among hospitalised older patients, including covariates for comorbidity, anxiety and depression.

designCross-sectional hospital-based study. SETTINGS: Data was collected consecutively from inpatients at somatic wards of a general university hospital.

participantsOlder patients between 65 and 90 years with/without CNSD use for ≥4 weeks. OUTCOME MEASURES: The main outcome was cognitive function assessed by Cognistat. Secondary outcomes were routine clinical tests in the wards (mini-mental state examination (MMSE), trail making test (TMT) A and B, and clock drawing tests). Analyses were bivariate and multiple linear regression, adjusted for age, gender, and education. Covariates were comorbidity, depression and anxiety scores.

resultsThe main result indicated that CNSD users (n=100) had (β=-3.4, 95% CI 6.27 to -0.58, p=0.017) lower Cognistat score than non-users (n=146), adjusted for age, gender, education, anxiety and depression, but not significant when including covariate for comorbidity (β= -2.50 - 5.45; -0.46, p=0.097). Comorbidity was associated with cognitive function (β=-0.77, 95% CI -1.22 to -0.14, p=0.014). Cognistat subdimensions associated with CNSD use were language (p=0.017) and calculation (p=0.003). In clock drawing test, users had lower scores than non-users (β=-0.80, 95% CI 1.24 to -0.36, p=0.004), but no significant difference was found with MMSE and TMT A or B. Z-hypnotics were associated with reduced cognitive function.

conclusionAmong older hospitalised patients, global cognition and specific cognitive functions were associated with long-term use of CNSD medication as well as with somatic comorbidity. TRIAL REGISTRATION NUMBER: NCT03162081, 22 May 2017.

Indexed as

Central Nervous System DepressantsPharmaceutical PreparationsAgedCognitionComorbidityCross-Sectional StudiesHumansCentral Nervous System DepressantsPharmaceutical Preparationsclinical pharmacologygeriatric medicineold age psychiatrysubstance misuse

Identifiers

PMID32718926
PMCPMC7389767
OpenAlexW3045563191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.