Evidence map›Paper›PMID 28338480›Full record

ArticleASAIO journal (American Society for Artificial Internal Organs : 1992)

The Challenges in Predicting ECMO Survival, and a Path Forward.

Marco Huesch, Christopher Brehm

Abstract read
In one paragraph

Article in ASAIO journal (American Society for Artificial Internal Organs : 1992). 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. Article
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

2 authors.

Marco HueschFrom the *Milton S. Hershey Medical Center, Hershey, Pennsylvania; †Department of Radiology, and Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania; and ‡Pennsylvania State University College of Medicine, Heart and Vascular Institute, Hershey, Pennsylvania.
Christopher Brehm

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracorporeal membrane oxygenation (ECMO) support is a life-saving but complex technique for patients suffering from severe cardiac or pulmonary dysfunction. Increasingly greater utilization in the last 15 years means that a suite of mortality risk analytics is both feasible for researchers and required by clinicians, patients, administrators, and insurers. We argue that to date, research into such risk analytics has been insufficient and does not adequately reflect the various indications and configurations of extracorporeal life support (ECLS). We propose a path to address these challenges and ensure that clinicians and researchers obtain robust, specific, risk analytics.

Indexed as

Extracorporeal Membrane OxygenationHumans

Identifiers

PMID28338480
PMCPMC5671797

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.