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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 64 out of 100. Getting a diagnosis

Topic: Risk, prevention and care in population studies

Background Delirium is common, leads to other adverse outcomes, and is costly. However, it often remains unrecognized in most clinical settings. The Confusion Assessment Method (CAM) is the most widely used diagnostic algorithm, and operationalizing its features would be a substantial advance for clinical care. Objective To derive the 3D-CAM, a new 3-minute diagnostic assessment for CAM-defined delirium, and validate it against a clinical reference standard. Design Derivation and validation study. Setting 4 general medicine units in an academic medical center. Participants 201 inpatients aged 75 years or older. Measurements 20 items that best operationalized the 4 CAM diagnostic features were identified to create the 3D-CAM. For prospective validation, 3D-CAM assessments were administered by trained research assistants. Clinicians independently did an extensive assessment, including patient and family interviews and medical record reviews. These data were considered by an expert panel to determine the presence or absence of delirium and dementia (reference standard). The 3D-CAM delirium diagnosis was compared with the reference standard in all patients and subgroups with and without dementia. Results The 201 participants in the prospective validation study had a mean age of 84 years, and 28% had dementia. The expert panel identified 21% with delirium, 88% of whom had hypoactive or normal psychomotor features. Median administration time for the 3D-CAM was 3 minutes (interquartile range, 2 to 5 minutes), sensitivity was 95% (95% CI, 84% to 99%), and specificity was 94% (CI, 90% to 97%). The 3D-CAM did well in patients with dementia (sensitivity, 96% [CI, 82% to 100%]; specificity, 86% [CI, 67% to 96%]) and without dementia (sensitivity, 93% [CI, 66% to 100%]; specificity, 96% [CI, 91% to 99%]). Limitation Limited to single-center, cross-sectional, and medical patients only. Conclusion The 3D-CAM operationalizes the CAM algorithm using a 3-minute structured assessment with high sensitivity and specificity relative to a reference standard and could be an important tool for improving recognition of delirium. Primary funding source National Institute on Aging.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Marcantonio, E. R., Ngo, L. H., O'Connor, M., Jones, R. N., Crane, P. K., Metzger, E. D., et al. (2014). 3D-CAM: derivation and validation of a 3-minute diagnostic interview for CAM-defined delirium: a cross-sectional diagnostic test study. Annals of internal medicine. https://doi.org/10.7326/m14-0865

Vancouver

Marcantonio ER, Ngo LH, O'Connor M, Jones RN, Crane PK, Metzger ED, et al. 3D-CAM: derivation and validation of a 3-minute diagnostic interview for CAM-defined delirium: a cross-sectional diagnostic test study. Annals of internal medicine. 2014. doi:10.7326/m14-0865. PMID: 25329203.

BibTeX

@article{marcantonio2014-25329203,
  author  = {Marcantonio, E. R. and Ngo, L. H. and O'Connor, M. and Jones, R. N. and Crane, P. K. and Metzger, E. D. and Inouye, S. K.},
  title   = {{3D-CAM: derivation and validation of a 3-minute diagnostic interview for CAM-defined delirium: a cross-sectional diagnostic test study}},
  journal = {Annals of internal medicine},
  year    = {2014},
  doi     = {10.7326/m14-0865},
  pmid    = {25329203},
  url     = {https://doi.org/10.7326/m14-0865}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 7 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.

Key findings

Why it matters

In 201 hospital patients aged 75 or older (28% with dementia), a 3-minute structured interview (3D-CAM) agreed closely with an expert panel's delirium diagnosis: sensitivity 95% and specificity 94%, with a median time of 3 minutes. It also performed well in patients with dementia, though specificity was lower there (86%). It detects delirium, not Alzheimer's, and was tested only on medical inpatients at a single center.

Study details

How this study scored 64/100
How this study's score is builtJournal tier 9 of 10; Journal's citation record 4 of 4; Study design 4 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 2 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 6 of 7; Citations per year 4 of 5; Impact for its field and year 4 of 6; Cited by studies here 2 of 6; Still being cited 3 of 4; Senior author's track record 4 of 4; Institution's track record 3 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 64 of 100.64 of 100 points earned36 not earned

Published in a leading specialty journal, and it is a snapshot of people at one point in time. Scored zero for effect reported and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 9 / 10 Tier 2 — leading specialty journal (Annals of internal medicine)
Journal's citation record 4 / 4 Annals of Internal Medicine: journal h-index 648 (OpenAlex, 2026-10-29)
Study design 4 / 12 A snapshot of people at one point in time
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2014 — within 20 year(s) of the newest study here
Sample size 2 / 4 201 participants
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 6 / 7 Cited 511 times (OpenAlex, 2026-10-10)
Citations per year 4 / 5 36.5 citations a year over 14 year(s) since 2014
Impact for its field and year 4 / 6 Cited 11.6× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 2 / 6 Cited by 6 other studies in this library
Still being cited 3 / 4 Cited 186 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 4 / 4 Last-listed author Sharon K. Inouye: h-index 118 (OpenAlex, whole career)
Institution's track record 3 / 3 University of Washington: institution h-index 3,540 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 5 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 25329203)
Free to read 0 / 2 Behind a paywall — scores zero
Total 64 / 100 —

What each of these 20 components measures, and what this score is not →

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