Literature DB >> 35709018

Clinical judgement by primary care physicians for the diagnosis of all-cause dementia or cognitive impairment in symptomatic people.

Samuel T Creavin1, Anna H Noel-Storr2, Ryan J Langdon3, Edo Richard4, Alexandra L Creavin1, Sarah Cullum5, Sarah Purdy1, Yoav Ben-Shlomo1.   

Abstract

BACKGROUND: In primary care, general practitioners (GPs) unavoidably reach a clinical judgement about a patient as part of their encounter with patients, and so clinical judgement can be an important part of the diagnostic evaluation. Typically clinical decision making about what to do next for a patient incorporates clinical judgement about the diagnosis with severity of symptoms and patient factors, such as their ideas and expectations for treatment. When evaluating patients for dementia, many GPs report using their own judgement to evaluate cognition, using information that is immediately available at the point of care, to decide whether someone has or does not have dementia, rather than more formal tests.
OBJECTIVES: To determine the diagnostic accuracy of GPs' clinical judgement for diagnosing cognitive impairment and dementia in symptomatic people presenting to primary care. To investigate the heterogeneity of test accuracy in the included studies. SEARCH
METHODS: We searched MEDLINE (Ovid SP), Embase (Ovid SP), PsycINFO (Ovid SP), Web of Science Core Collection (ISI Web of Science), and LILACs (BIREME) on 16 September 2021. SELECTION CRITERIA: We selected cross-sectional and cohort studies from primary care where clinical judgement was determined by a GP either prospectively (after consulting with a patient who has presented to a specific encounter with the doctor) or retrospectively (based on knowledge of the patient and review of the medical notes, but not relating to a specific encounter with the patient). The target conditions were dementia and cognitive impairment (mild cognitive impairment and dementia) and we included studies with any appropriate reference standard such as the Diagnostic and Statistical Manual of Mental Disorders (DSM), International Classification of Diseases (ICD), aetiological definitions, or expert clinical diagnosis. DATA COLLECTION AND ANALYSIS: Two review authors screened titles and abstracts for relevant articles and extracted data separately with differences resolved by consensus discussion. We used QUADAS-2 to evaluate the risk of bias and concerns about applicability in each study using anchoring statements. We performed meta-analysis using the bivariate method. MAIN
RESULTS: We identified 18,202 potentially relevant articles, of which 12,427 remained after de-duplication. We assessed 57 full-text articles and extracted data on 11 studies (17 papers), of which 10 studies had quantitative data. We included eight studies in the meta-analysis for the target condition dementia and four studies for the target condition cognitive impairment. Most studies were at low risk of bias as assessed with the QUADAS-2 tool, except for the flow and timing domain where four studies were at high risk of bias, and the reference standard domain where two studies were at high risk of bias. Most studies had low concern about applicability to the review question in all QUADAS-2 domains. Average age ranged from 73 years to 83 years (weighted average 77 years). The percentage of female participants in studies ranged from 47% to 100%. The percentage of people with a final diagnosis of dementia was between 2% and 56% across studies (a weighted average of 21%). For the target condition dementia, in individual studies sensitivity ranged from 34% to 91% and specificity ranged from 58% to 99%. In the meta-analysis for dementia as the target condition, in eight studies in which a total of 826 of 2790 participants had dementia, the summary diagnostic accuracy of clinical judgement of general practitioners was sensitivity 58% (95% confidence interval (CI) 43% to 72%), specificity 89% (95% CI 79% to 95%), positive likelihood ratio 5.3 (95% CI 2.4 to 8.2), and negative likelihood ratio 0.47 (95% CI 0.33 to 0.61). For the target condition cognitive impairment, in individual studies sensitivity ranged from 58% to 97% and specificity ranged from 40% to 88%. The summary diagnostic accuracy of clinical judgement of general practitioners in four studies in which a total of 594 of 1497 participants had cognitive impairment was sensitivity 84% (95% CI 60% to 95%), specificity 73% (95% CI 50% to 88%), positive likelihood ratio 3.1 (95% CI 1.4 to 4.7), and negative likelihood ratio 0.23 (95% CI 0.06 to 0.40). It was impossible to draw firm conclusions in the analysis of heterogeneity because there were small numbers of studies. For specificity we found the data were compatible with studies that used ICD-10, or applied retrospective judgement, had higher reported specificity compared to studies with DSM definitions or using prospective judgement. In contrast for sensitivity, we found studies that used a prospective index test may have had higher sensitivity than studies that used a retrospective index test. AUTHORS'
CONCLUSIONS: Clinical judgement of GPs is more specific than sensitive for the diagnosis of dementia. It would be necessary to use additional tests to confirm the diagnosis for either target condition, or to confirm the absence of the target conditions, but clinical judgement may inform the choice of further testing. Many people who a GP judges as having dementia will have the condition. People with false negative diagnoses are likely to have less severe disease and some could be identified by using more formal testing in people who GPs judge as not having dementia. Some false positives may require similar practical support to those with dementia, but some - such as some people with depression - may suffer delayed intervention for an alternative treatable pathology.
Copyright © 2022 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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Year:  2022        PMID: 35709018      PMCID: PMC9202995          DOI: 10.1002/14651858.CD012558.pub2

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  140 in total

1.  Use of mini-mental state examination by GPs to diagnose dementia may be unnecessary.

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Journal:  BMJ       Date:  1999-07-17

2.  A unification of models for meta-analysis of diagnostic accuracy studies.

Authors:  Roger M Harbord; Jonathan J Deeks; Matthias Egger; Penny Whiting; Jonathan A C Sterne
Journal:  Biostatistics       Date:  2006-05-11       Impact factor: 5.899

3.  Clinical recognition of dementia and cognitive impairment in primary care: a meta-analysis of physician accuracy.

Authors:  Alex J Mitchell; Nicholas Meader; Michael Pentzek
Journal:  Acta Psychiatr Scand       Date:  2011-06-11       Impact factor: 6.392

4.  General practitioners should be conducting targeted screening for dementia in people aged 65 to 74: Yes.

Authors:  Jill Rasmussen
Journal:  J Prim Health Care       Date:  2014-09-01

5.  A computerized psychiatric diagnostic system and case nomenclature for elderly subjects: GMS and AGECAT.

Authors:  J R Copeland; M E Dewey; H M Griffiths-Jones
Journal:  Psychol Med       Date:  1986-02       Impact factor: 7.723

6.  A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients.

Authors:  E Pfeiffer
Journal:  J Am Geriatr Soc       Date:  1975-10       Impact factor: 5.562

Review 7.  Clinical and neuropathological criteria for frontotemporal dementia. The Lund and Manchester Groups.

Authors: 
Journal:  J Neurol Neurosurg Psychiatry       Date:  1994-04       Impact factor: 10.154

8.  The prevalence of dementia in a statewide sample of new nursing home admissions aged 65 and older: diagnosis by expert panel. Epidemiology of Dementia in Nursing Homes Research Group.

Authors:  J Magaziner; P German; S I Zimmerman; J R Hebel; L Burton; A L Gruber-Baldini; C May; S Kittner
Journal:  Gerontologist       Date:  2000-12

9.  The value of the GP's clinical judgement in predicting dementia: a multicentre prospective cohort study among patients in general practice.

Authors:  Michael Pentzek; Michael Wagner; Heinz-Harald Abholz; Horst Bickel; Hanna Kaduszkiewicz; Birgitt Wiese; Siegfried Weyerer; Hans-Helmut König; Martin Scherer; Steffi G Riedel-Heller; Wolfgang Maier; Alexander Koppara
Journal:  Br J Gen Pract       Date:  2019-10-31       Impact factor: 5.386

10.  Improving the identification of people with dementia in primary care: evaluation of the impact of primary care dementia coding guidance on identified prevalence.

Authors:  Paul Russell; Sube Banerjee; Jen Watt; Rosalyn Adleman; Belinda Agoe; Nerida Burnie; Alex Carefull; Kiran Chandan; Dominie Constable; Mark Daniels; David Davies; Sid Deshmukh; Martin Huddart; Ashrafi Jabin; Penelope Jarrett; Jenifer King; Tamar Koch; Sanjoy Kumar; Stavroula Lees; Sinan Mir; Dominic Naidoo; Sylvia Nyame; Ryuichiro Sasae; Tushar Sharma; Clare Thormod; Krish Vedavanam; Anja Wilton; Breda Flaherty
Journal:  BMJ Open       Date:  2013-12-23       Impact factor: 2.692

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