Evidence map›Paper›PMID 41194870›Full record

ArticleFrontiers in surgery2025

Intensive care scores predict outcomes in patients receiving cytoreductive surgery and hyperthermic intraperitoneal chemotherapy.

Julia Wimmer, Miklos Acs, Gyula Bohus, Patricia Hauer, Veronika Müller, Niklas Bogovic, Paul Kupke, Przemyslaw Slowik, Hans J Schlitt, Matthias Hornung and 1 more

Abstract read
In one paragraph

Article in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Julia Wimmer *Department of Anesthesiology, University Medical Center Regensburg, Regensburg, Germany.
Miklos Acs *Department of Surgery, University Medical Center Regensburg, Regensburg, Germany.
Gyula BohusFaculty of Medicine, Semmelweis University, Budapest, Hungary.
Patricia HauerDepartment of Surgery, University Medical Center Regensburg, Regensburg, Germany.
Veronika MüllerDepartment of Surgery, University Medical Center Regensburg, Regensburg, Germany.
Niklas BogovicDepartment of Surgery, University Medical Center Regensburg, Regensburg, Germany.
Paul KupkeDepartment of Surgery, University Medical Center Regensburg, Regensburg, Germany.
Przemyslaw SlowikDepartment of Surgery, University Medical Center Regensburg, Regensburg, Germany.
Hans J SchlittDepartment of Surgery, University Medical Center Regensburg, Regensburg, Germany.
Matthias Hornung *Department of Surgery, University Medical Center Regensburg, Regensburg, Germany.
Jens M Werner *Department of Surgery, University Medical Center Regensburg, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Surgical management of patients with peritoneal surface malignancies (PSM) via multivisceral resection is associated with increased morbidity and mortality in the immediate postoperative period, rendering intensive care therapy critically important. We aimed to determine whether intensive care unit (ICU) course and scoring systems predict not only short-term but also long-term outcomes. Methods: We retrospectively analyzed the medical records of all patients who underwent cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) for peritoneal surface malignancies (PSM) between 2008 and 2015 at a university cancer center. Upon postoperative ICU admission, Simplified Acute Physiology Score (SAPS II) and Sequential Organ Failure Assessment (SOFA) scores were recorded. Complications during the ICU stay and overall hospitalization were documented, and patients were followed according to a standardized protocol after discharge. Results: A total of 251 patients were included. The mean Peritoneal Cancer Index (PCI) was 14 ± 9.1 and correlated significantly with both ICU stay duration ( Discussion: In conclusion, SAPS II and SOFA scores not only predict ICU and hospital lengths of stay but also independently forecast overall survival in patients undergoing CRS and HIPEC for PSM.

Indexed as

cytoreductive surgeryHIPECintensive care unitlong term outcomeSAPSSOFA

Identifiers

PMID41194870
PMCPMC12583095

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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.