Evidence map›Paper›PMID 41048666›Full record

ArticleEClinicalMedicine2025

Development and validation of a prediction score for early identification of palliative care needs for patients in the intensive care unit: a multicentre retrospective cohort study.

Theresa Tenge, Rachel Hadler, Elizabeth Mahal, Elena Ahrens, Luca J Wachtendorf, Simone Redaelli, Sophia Riesemann, Béla-Simon Paschold, Guanqing Chen, Sharaf Khan and 6 more

Abstract read
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Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

16 authors.

Theresa TengeDepartment of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
Rachel HadlerDepartment of Anesthesiology, Department of Family and Preventive Medicine, Emory University, Atlanta, GA, United States of America.
Elizabeth MahalDepartment of Emergency Medicine, Critical Care Anesthesiology, and Palliative Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America.
Elena AhrensDepartment of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
Luca J WachtendorfDepartment of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
Simone RedaelliDepartment of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
Sophia RiesemannDepartment of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
Béla-Simon PascholdDepartment of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
Guanqing ChenDepartment of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
Sharaf KhanEmory Critical Care Center, Department of Family and Preventive Medicine, Emory University, Atlanta, GA, United States of America.
Jacqueline SchwartzInterdisciplinary Center for Palliative Medicine, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany.
Manuela SchallenburgerInterdisciplinary Center for Palliative Medicine, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany.
Rae M AllainDepartment of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
Kathleen LeeSection of Palliative Care, Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.
Martin NeukirchenDepartment of Anesthesiology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany.
Maximilian S SchaeferDepartment of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many critically ill patients and their families face serious physical, psychosocial, and spiritual burdens which can be addressed through specialist palliative care (PC). Identifying PC need and patients who would benefit from PC consultation remains challenging. We aimed to develop and validate a simple and accurate score for predicting PC involvement during intensive care unit (ICU) treatment with predictors routinely collected within 24 h of ICU admission to enable early integration. Methods: This multicentre retrospective cohort study included adult patients admitted to an ICU between Jan 01, 2011 and Dec 31, 2022 in Boston, MA (development cohort), Omaha, NE, and Atlanta, GA (validation cohort [VC] I and II, respectively) in the United States of America. For score development, cases with missing data were excluded. PC involvement was defined as a specialist PC consult request or note in the patient's medical record. Candidate predictors were selected using adaptive-lasso-logistic regression-models with 10-fold cross-validation. We developed a comprehensive epidemiological score and subsequently a simplified version (PC-ICU) for clinical use. Score performance was quantified using the area-under the receiver-operating-characteristic (AU-ROC) curve and the PC-ICU score was externally validated in two independent cohorts. The PC-ICU score is available at: www.pc-icu.com. Findings: 99,582 patients (55.1% male, 44.9% female) were included. Score development was performed in 60,091 patients (19,705/79,796 excluded due to missing data), of which 5.5% ( Interpretation: The PC-ICU score predicts PC consultation during intensive care upon ICU admission. This externally validated instrument can identify patients with potential PC needs and may facilitate integration of multi-disciplinary care. Additional prospective evaluation of the PC-ICU score in different national and international locations, healthcare settings and patient populations is needed to further enhance generalisability. Funding: The Deutsche Forschungsgemeinschaft (German Research Foundation).

Indexed as

Critical careEnd-of-life careInterdisciplinary carePalliative careQuality of life

Identifiers

PMID41048666
PMCPMC12495436

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.