Evidence map›Paper›PMID 26714211›Full record

ArticleThe American journal of medicine2016

Multiple Chronic Conditions and Psychosocial Limitations in Patients Hospitalized with an Acute Coronary Syndrome.

Mayra Tisminetzky, Jerry Gurwitz, David D McManus, Jane S Saczynski, Nathaniel Erskine, Molly E Waring, Milena Anatchkova, Hamza Awad, David C Parish, Darleen Lessard and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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

12 authors at 2 institutions in 1 country.

Mayra TisminetzkyDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester; Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester; Division of Geriatric Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester.
Jerry GurwitzDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester; Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester; Division of Geriatric Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester.
David D McManusDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester; Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester; Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester.
Jane S SaczynskiDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester; Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester; Division of Geriatric Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester.
Nathaniel ErskineDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester.
Molly E WaringDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester.
Milena AnatchkovaDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester.
Hamza AwadDepartment of Community Medicine, Mercer University School of Medicine, Macon, Ga.
David C ParishDepartment of Community Medicine, Mercer University School of Medicine, Macon, Ga.
Darleen LessardDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester.
Catarina KiefeDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester.
Robert GoldbergDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester; Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester; Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester. Electronic address: Robert.Goldberg@umassmed.edu.
University of Massachusetts Chan Medical School · USMercer University · US

Funding

University of Massachusetts Center for Clinical Science and Translational SupplementUL1TR001453 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2015 to 2024
$39.0M
University of Massachusetts Center for Clinical and Translational ScienceUL1TR000161 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2015
$11.0M
WORCHESTER HEART ATTACK COMMUNITY SURVEILLANCE STUDYR01HL035434 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GOLDBERG, ROBERT JOEL · 1987 to 2014
$7.4M
TRACE-COREU01HL105268 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2010 to 2013
$5.8M
University of Massachusetts Center for Clinical and Translational ScienceKL2TR001455 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2015 to 2024
$5.0M
Medical Scientist Training at UMMS Administrative SupplementT32GM107000 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIEFE, CATARINA I. · 2013 to 2022
$4.9M
Transdisciplinary Training In Cardiovascular ResearchT32HL120823 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DONAHUE, J KEVIN, KIEFE, CATARINA I. · 2014 to 2025
$3.9M
Advancing Geriatrics Infrastructure & Network Growth - Admin Supplement: Designing and Testing an Informatics Tool to Aid Prescribers in Reducing Anticholinergic Burden in Older AdultsR24AG045050 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GURWITZ, JERRY H · 2014 to 2017
$3.6M
University of Massachusetts Center for Clinical and Translational ScienceKL2TR000160 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2014
$1.7M
University of Massachusetts Center for Clinical and Translational ScienceKL2RR031981 · NCRR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SULLIVAN, JOHN LEWIS · 2010 to 2011
$1.2M
Medical Illness & Cognitive Impairment in Older Adults: Heart Failure as a ModelK01AG033643 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SACZYNSKI, JANE STEELE · 2010 to 2014
$628k
Arrhythmia Detection Using a Smart PhoneR15HL121761 · NHLBI · WORCESTER POLYTECHNIC INSTITUTE · PI CHONG, JO WOON · 2014 to 2014
$389k
NCATS NIH HHS KL2 TR000160NCATS NIH HHS KL2 TR001455NCATS NIH HHS UL1 TR000161NCATS NIH HHS UL1 TR001453NCRR NIH HHS KL2 RR031981NHLBI NIH HHS R01 HL035434NHLBI NIH HHS R15 HL121761NHLBI NIH HHS T32 HL120823NHLBI NIH HHS U01 HL105268NIA NIH HHS K01 AG033643NIA NIH HHS R24 AG045050NIGMS NIH HHS T32 GM107000
6 · The paper itself

Abstract

backgroundAs adults live longer, multiple chronic conditions have become more prevalent over the past several decades. We describe the prevalence of, and patient characteristics associated with, cardiac- and non-cardiac-related multimorbidities in patients discharged from the hospital after an acute coronary syndrome.

methodsWe studied 2174 patients discharged from the hospital after an acute coronary syndrome at 6 medical centers in Massachusetts and Georgia between April 2011 and May 2013. Hospital medical records yielded clinical information including presence of eight cardiac-related and eight non-cardiac-related morbidities on admission. We assessed multiple psychosocial characteristics during the index hospitalization using standardized in-person instruments.

resultsThe mean age of the study sample was 61 years, 67% were men, and 81% were non-Hispanic whites. The most common cardiac-related morbidities were hypertension, hyperlipidemia, and diabetes (76%, 69%, and 31%, respectively). Arthritis, chronic pulmonary disease, and depression (20%, 18%, and 13%, respectively) were the most common noncardiac morbidities. Patients with ≥4 morbidities (37% of the population) were slightly older and more frequently female than those with 0-1 morbidity; they were also heavier and more likely to be cognitively impaired (26% vs 12%), have symptoms of moderate/severe depression (31% vs 15%), high perceived stress (48% vs 32%), a limited social network (22% vs 15%), low health literacy (42% vs 31%), and low health numeracy (54% vs 42%).

conclusionMultimorbidity, highly prevalent in patients hospitalized with an acute coronary syndrome, is strongly associated with indices of psychosocial deprivation. This emphasizes the challenge of caring for these patients, which extends well beyond acute coronary syndrome management.

Indexed as

Psychosocial DeprivationAcute Coronary SyndromeChi-Square DistributionFemaleGeorgiaHumansInpatientsMaleMassachusettsMiddle AgedMulticenter Studies as TopicMultiple Chronic ConditionsPrevalenceProspective StudiesAcute coronary syndromeMultimorbidities

Identifiers

PMID26714211
PMCPMC4879087
OpenAlexW2205293456

What OpenQuestion holds

Textmetadata
LicenceTDM
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.