Evidence map›Paper›PMID 41610067›Full record

ArticleBlood purification2026

Prediction of Long-Term Mortality in Acute Hypercapnic Respiratory Failure with Use of Low-Flow Veno-Venous Extracorporeal CO

Anne-Aylin Sigg, Stefanie Keiser, Shalimar Mila Konopasek, Stephanie Klinzing, Pedro David Wendel-Garcia, Marco Maggiorini, Reto Andreas Schuepbach, Matthias Peter Hilty

Abstract read
In one paragraph

Article in Blood purification, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Anne-Aylin SiggInstitute of Intensive Care Medicine, University Hospital of Zurich, Zurich, Switzerland, anne-aylin.sigg@usz.ch.
Stefanie KeiserInstitute of Intensive Care Medicine, University Hospital of Zurich, Zurich, Switzerland.
Shalimar Mila KonopasekInstitute of Intensive Care Medicine, University Hospital of Zurich, Zurich, Switzerland.
Stephanie KlinzingInstitute of Intensive Care Medicine, University Hospital of Zurich, Zurich, Switzerland.
Pedro David Wendel-GarciaInstitute of Intensive Care Medicine, University Hospital of Zurich, Zurich, Switzerland.
Marco MaggioriniInstitute of Intensive Care Medicine, University Hospital of Zurich, Zurich, Switzerland.
Reto Andreas SchuepbachInstitute of Intensive Care Medicine, University Hospital of Zurich, Zurich, Switzerland.
Matthias Peter HiltyInstitute of Intensive Care Medicine, University Hospital of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Introduction: Hypercapnic respiratory failure is associated with high morbidity and mortality. Low-flow extracorporeal CO

methodsA total of 70 patients admitted to the intensive care unit at the University Hospital of Zurich between 10/2009 and 02/2017 with hypercapnic respiratory failure were treated with ECCO

resultsThe underlying diseases were acute respiratory distress syndrome (n = 27), chronic-obstructive pulmonary disease (n = 12), bronchiolitis obliterans syndrome (BOS; n = 9), cystic fibrosis (n = 10), pulmonary fibrosis (n = 8), and other causes (n = 4). The 180-day mortality was 45.7% with the highest rate observed in PF and BOS patients as well as in patients who had been mechanically ventilated >6 days before initiation of ECCO

conclusionCareful selection of patients for ECCO

Indexed as

Carbon DioxideExtracorporeal Membrane OxygenationHypercapniaRespiratory InsufficiencyAdultAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesCarbon DioxideAcute respiratory distress syndromeChronic-obstructive pulmonary diseaseCystic fibrosisExtracorporeal CO2 removalHypercapniaOutcome

Identifiers

PMID41610067
PMCPMC13008386

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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.