Evidence map›Paper›PMID 42704383›Full record

ArticleEuropean journal of pediatrics2026

Evaluation of discharge to palliative care following critical care: a pediatric intensive care perspective.

Alper Oglakcioglu, Serhan Ozcan, Emre Karadeniz, Cihan Inan, Sadik Kaya, Oktay Perk, Serhat Emeksiz

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Article in European journal of pediatrics, 2026. 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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0cells of the map it votes in
0citing papers in PubMed
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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

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

7 authors.

Alper OglakciogluDivision of Pediatric Intensive Care, Department of Pediatrics, Faculty of Medicine, Ankara Bilkent City Hospital, University of Health Sciences Faculty of Medicine, Ankara, Türkiye. alperoglakcioglu@gmail.com.ORCID http://orcid.org/0000-0002-3024-5346
Serhan OzcanDivision of Pediatric Intensive Care, Department of Pediatrics, Faculty of Medicine, Ankara Bilkent City Hospital, University of Health Sciences Faculty of Medicine, Ankara, Türkiye.ORCID http://orcid.org/0000-0003-4465-6063
Emre KaradenizDivision of Pediatric Intensive Care, Department of Pediatrics, Faculty of Medicine, Ankara Bilkent City Hospital, University of Health Sciences Faculty of Medicine, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-8971-2156
Cihan InanDivision of Pediatric Intensive Care, Department of Pediatrics, Faculty of Medicine, Ankara Bilkent City Hospital, University of Health Sciences Faculty of Medicine, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-3563-8237
Sadik KayaDivision of Pediatric Intensive Care, Department of Pediatrics, Faculty of Medicine, Ankara Bilkent City Hospital, University of Health Sciences Faculty of Medicine, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-6237-5831
Oktay PerkDivision of Pediatric Intensive Care, Department of Pediatrics, Faculty of Medicine, Ankara Bilkent City Hospital, University of Health Sciences Faculty of Medicine, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-2586-5954
Serhat EmeksizDivision of Pediatric Intensive Care, Department of Pediatrics, Faculty of Medicine, Ankara Bilkent City Hospital, Ankara Yıldırım Beyazıt University, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-8951-4774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to analyze the demographic and clinical characteristics of patients transferred from the pediatric intensive care unit (PICU) to the pediatric palliative care unit (PPCU), and to assess the independent impact of medical technology dependence-including mechanical ventilation, tracheostomy, and percutaneous endoscopic gastrostomy (PEG)-on PICU length of stay (LOS) and readmission frequency. This retrospective, single-center study analyzed the records of 303 patients transferred from a tertiary-level PICU to a pediatric palliative care unit between January 1, 2023, and December 31, 2025. Demographic data, diagnostic groups, PICU length of stay, mechanical ventilation (MV), tracheostomy (TK), and PEG status were analyzed. Binary logistic regression was performed to identify independent predictors of multiple PICU readmissions (≥ 2 admissions) and prolonged LOS (> 15 days). Of 4,083 PICU discharges, 303 (7.4%) transferred to PPCU; 43.2% had neurological disorders. Tracheostomy independently predicted multiple readmissions (OR = 2.06, p = 0.042) and prolonged stay (OR = 2.59, p = 0.009). Ventilation predicted prolonged stay (OR = 7.47, p = 0.013), whereas PEG predicted shorter stay (OR = 0.37, p < 0.001). Female gender predicted higher readmissions (p = 0.003).

conclusionTechnology dependence-particularly tracheostomy and mechanical ventilation-is a key independent determinant of prolonged PICU occupancy and recurrent hospitalizations among children requiring palliative care. These findings underscore the need to optimize the integration of palliative care within intensive care workflows and to establish comprehensive, multidisciplinary post-discharge follow-up protocols. WHAT IS KNOWN: • Global PPCU admissions after PICU discharge are rising due to increased survival of complex chronic patients. • Tracheostomy, gastrostomy, and ventilation mark technology dependence. WHAT IS NEW: • Largest Turkish cohort ($$n=303$$) tracking PICU-to-palliative transitions (7.4% of discharges). • Tracheostomy and ventilation predicted prolonged stay; PEG feeding correlated with shorter stay.

Indexed as

Critical CareIntensive Care Units, PediatricPalliative CarePatient DischargeAdolescentChildChild, PreschoolFemaleGastrostomyHumansInfantLength of StayMalePatient ReadmissionRespiration, ArtificialRetrospective StudiesLength of stayLogistic regressionPediatric intensive carePediatric palliative careTechnology-dependent childrenTracheostomy

Identifiers

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Textmetadata
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.