Evidence map›Paper›PMID 37109110›Full record

ArticleJournal of clinical medicine2023

Healthcare Resources Utilization throughout the Last Year of Life after Acute Myocardial Infarction.

Ygal Plakht, Harel Gilutz, Jonathan Eli Arbelle, Dan Greenberg, Arthur Shiyovich

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Ygal PlakhtDepartment of Nursing, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.ORCID 0000-0003-0898-9776
Harel GilutzGoldman Medical School, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.ORCID 0000-0001-9543-7528
Jonathan Eli ArbelleGoldman Medical School, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Dan GreenbergDepartment of Health Systems Management, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Arthur ShiyovichDivision of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0001-7316-1882

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare resource utilization (HRU) peaks in the last year-of-life, and accounts for a substantial share of healthcare expenditure. We evaluated changes in HRU and costs throughout the last year-of-life among AMI survivors and investigated whether such changes can predict imminent mortality. This retrospective analysis included patients who survived at least one year following an AMI. Mortality and HRU data during the 10-year follow-up period were collected. Analyses were performed according to follow-up years that were classified into mortality years (one year prior to death) and survival years. Overall, 10,992 patients (44,099 patients-years) were investigated. Throughout the follow-up period, 2,885 (26.3%) patients died. The HRU parameters and total costs were strong independent predictors of mortality during a subsequent year. While a direct association between mortality and hospital services (length of in-hospital stay and emergency department visits) was observed, the association with ambulatory services utilization was reversed. The discriminative ability (c-statistics) of a multivariable model including the HRU parameters for predicting the mortality in the subsequent year, was 0.88. In conclusion, throughout the last year of life, hospital-centered HRU and costs of AMI survivors increase while utilization of ambulatory services decrease. HRUs are strong and independent predictors of an imminent mortality year among these patients.

Indexed as

acute myocardial infarctioncostsfollow-uphealthcare resource utilizationprognosis

Identifiers

PMID37109110
PMCPMC10146999

What OpenQuestion holds

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Registered trials

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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.