Evidence map›Paper›PMID 33310013›Full record

ArticleGeneral hospital psychiatry

Distribution of agitation and related symptoms among hospitalized patients using a scalable natural language processing method.

Kamber L Hart, Amelia M Pellegrini, Brent P Forester, Sabina Berretta, Shawn N Murphy, Roy H Perlis, Thomas H McCoy

Open access · greenAbstract read
In one paragraph

Article in General hospital psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

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  11. Dimensional clinical phenotyping usingAlzheimer's & dementia (Amsterdam, Netherlands)
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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

7 authors at 4 institutions in 1 country.

Kamber L HartMassachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA. Electronic address: klhart@partners.org.
Amelia M PellegriniMassachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA. Electronic address: apellegrini@mail.missouri.edu.
Brent P ForesterHarvard Medical School, 25 Shattuck St, Boston, MA 02115, USA; McLean Hospital, 115 Mill St, Belmont, MA 02478, USA. Electronic address: bforester@partners.org.
Sabina BerrettaHarvard Medical School, 25 Shattuck St, Boston, MA 02115, USA; McLean Hospital, 115 Mill St, Belmont, MA 02478, USA. Electronic address: sberretta@mclean.harvard.edu.
Shawn N MurphyMassachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA. Electronic address: snmurphy@partners.org.
Roy H PerlisMassachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA. Electronic address: rperlis@partners.org.
Thomas H McCoyMassachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA. Electronic address: thmccoy@partners.org.
Harvard University · USLemuel Shattuck Hospital · USMassachusetts General Hospital · USMcLean Hospital · US

Funding

Dysregulation of Appetitive & Aversive Amygdala Circuits in Bipolar DisorderR01MH120991 · NIMH · MCLEAN HOSPITAL · PI BERRETTA, SABINA, MCCARROLL, STEVEN ANDREW · 2020 to 2024
$4.0M
Developing i2b2 into a Health Innovation Platform for Clinical Decision Support in the Genomics EraR01HG009174 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI ARONSON, SAMUEL JEFFREY, MACRAE, CALUM A. · 2016 to 2019
$2.9M
Role of the Extracellular Matrix in the Pathophysiology of Alzheimer's disorder: Regulation by OTX2R01MH104488 · NIMH · MCLEAN HOSPITAL · PI BERRETTA, SABINA, WOO, TSUNG-UNG W. · 2015 to 2019
$2.8M
Natural language processing for characterizing psychopathologyR01MH106577 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2016 to 2018
$1.2M
NHGRI NIH HHS R01 HG009174NIMH NIH HHS R01 MH104488NIMH NIH HHS R01 MH106577NIMH NIH HHS R01 MH120991
6 · The paper itself

Abstract

backgroundAgitation is a common feature of many neuropsychiatric disorders.

objectiveUnderstanding the prevalence, implications, and characteristics of agitation among hospitalized populations can facilitate more precise recognition of disability arising from neuropsychiatric diseases.

methodsWe developed two agitation phenotypes using an expansion of expert curated term lists. These phenotypes were used to characterize five years of psychiatric admissions. The relationship of agitation symptoms and length of stay was examined.

resultsAmong 4548 psychiatric admissions, 1134 (24.9%) included documentation of agitation based on the primary agitation phenotype. These symptoms were greater among individuals with public insurance, and those with mania and psychosis compared to major depressive disorder. Greater symptoms were associated with longer hospital stay, with ~0.9 day increase in stay for every 10% increase in agitation phenotype.

conclusionAgitation was common at hospital admission and associated with diagnosis and longer length of stay. Characterizing agitation-related symptoms through natural language processing may provide new tools for understanding agitated behaviors and their relationship to delirium.

Indexed as

Major Depressive DisorderPsychotic DisordersAnxietyHumansNatural Language ProcessingPsychomotor AgitationData miningElectronic health recordsMachine learningNatural language processingPsychomotor agitation

Identifiers

PMID33310013
PMCPMC7855889
OpenAlexW3102832013

What OpenQuestion holds

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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.