Evidence map›Paper›PMID 41291365›Full record

ReviewMedizinische Klinik, Intensivmedizin und Notfallmedizin2025

[Challenge healthcare system: spotlight on PICS].

Sektion Post Intensive Care Syndrom – PICS der Deutschen Interdisziplinären Vereinigung für Intensiv- und Notfallmedizin (DIVI)

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2025. 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. Review
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

1 author.

Sektion Post Intensive Care Syndrom – PICS der Deutschen Interdisziplinären Vereinigung für Intensiv- und Notfallmedizin (DIVI)

Funding

Deutsche Forschungsgemeinschaft RINAI
6 · The paper itself

Abstract

backgroundThe long-term sequelae of intensive care treatment are summarized as postintensive care syndrome (PICS), which affects physical, cognitive and psychological health and can also impact children (PICS-p) and families (PICS-F).

objectiveDue to the heterogeneous long-term sequelae, an interdisciplinary treatment approach is necessary; however, current healthcare structures in the German-speaking region are not designed for transitional care, including a coordinated outpatient follow-up or care following neurological rehabilitation. The aim of this work is to identify challenges in PICS outpatient diagnostics, treatment and organization and to develop suggestions for improving care. MATERIAL AND

methodsThe Postintensive Care Syndrome Section of the German Interdisciplinary Association of Critical Care and Emergency Medicine (DIVI) provides an overview of the current challenges and addresses them from a healthcare perspective.

resultsCare for PICS patients in German-speaking countries is severely limited due to the absence of ICD-10 codes and billing possibilities, a small number of specialized university outpatient clinics, and insufficient outpatient follow-up care. In particular, the period following rehabilitation is marked by a lack of adequate follow-up care and limited awareness within the outpatient sector.

conclusionFuture efforts should focus on raising awareness among healthcare professionals about this complex syndrome and establishing a continuous interdisciplinary care pathway from intensive care units to rehabilitation and PICS outpatient clinics. Additionally, the introduction of ICD coding and the creation of reimbursable care structures are necessary.

Indexed as

AftercareCritical illnessPostintensive care syndromeRehabilitationTransitional care

Identifiers

What OpenQuestion holds

Textmetadata
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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.