Evidence map›Paper›PMID 24174794›Full record

ArticleJournal of neurosciences in rural practice2013

Identifying elders with neuropsychiatric problems in a clinical setting.

Shilpa Sadanand, Prafulla Shivakumar, N Girish, Santosh Loganathan, Bhavani Shankara Bagepally, Lakshmi Narayanan Kota, Nalini Narayana Reddy, Palanimuthu Thangaraju Sivakumar, Srikala Bharath, Mathew Varghese

Open access · goldAbstract read
In one paragraph

Article in Journal of neurosciences in rural practice, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Proportion and factors associated with depressive symptoms among elderly in an urban slum in Bangalore.Journal of urban health : bulletin of the New York Academy of Medicine · 2014
    Article
  4. 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

10 authors at 1 institution in 1 country.

Shilpa SadanandGeriatric Clinic and Services, National Institute of Mental Health and Neurosciences, Bangalore, India.
Prafulla Shivakumar
N Girish
Santosh Loganathan
Bhavani Shankara Bagepally
Lakshmi Narayanan Kota
Nalini Narayana Reddy
Palanimuthu Thangaraju Sivakumar
Srikala Bharath
Mathew Varghese
National Institute of Mental Health and Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMultiple health problems among the elderly necessitate a comprehensive enquiry to detect problems early and also initiate treatment. We utilized available validated instruments to comprehensively identify older persons with neuro-psychiatric problems including dementia and comorbid medical ailments in the screening desk of the geriatric clinic. MATERIALS AND

methodsIndividuals aged 60 years and above seeking outpatient care at NIMHANS during a 2-year period (October 2008-September 2010) participated. We used General Health Questionnaire (12-item), AD8, questions to identify psychoses and neurological problems and a checklist of common medical ailments. A probable clinical diagnosis was made at the end by medical personnel based on ICD-10.

resultsA total of 5,260 individuals were screened and more than one-third (36.7%) were women. About 50% had psychological distress (≥2 on GHQ-12), 20.1% had probable cognitive impairment (≥2 on AD8) and about 17% had symptoms suggestive of psychoses (≥1 on Psychoses screener). More than 65% had either a neurological or neurosurgical problems (≥1 on Neurological screener) and headache was the commonest complaint. At probable diagnosis, more than 50% had a neurological problem and over 30% had psychiatric disorders. Of these the most common psychiatric illnesses were psychotic disorders (22.0%), mood disorders (21.4%) and dementia (14.4%). The most common medical comorbidity included hypertension (36.4%), visual impairment (31.8%) and joint pains (30.5%). Nearly 80% had one or more medical comorbidity in addition to psychiatric illness. The overall set of instruments took about 15-20 minutes. It systematically and comprehensively guided in evaluating the elderly for neuropsychiatric problems and hence was collated to constitute the Instruments for Comprehensive Evaluation of the Elderly (ICE-E).

conclusionsICE-E was brief, easy to administer and improved decision making even by personnel from a non-medical background. The instrument aided in systematically detecting neuro-psychiatric problems among the elderly (including psychological distress and cognitive changes) and other medical comorbidities.

Indexed as

Comorbidityelderlyinstruments screeningmental healthneuro-psychiatric problems

Identifiers

PMID24174794
PMCPMC3808056
OpenAlexW2057937950

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.