Evidence map›Paper›PMID 33192402›Full record

ArticleFrontiers in human neuroscience2020

The Impact of Medical Complications in Predicting the Rehabilitation Outcome of Patients With Disorders of Consciousness After Severe Traumatic Brain Injury.

Lucia Francesca Lucca, Danilo Lofaro, Elio Leto, Maria Ursino, Stefania Rogano, Antonio Pileggi, Serafino Vulcano, Domenico Conforti, Paolo Tonin, Antonio Cerasa

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Lucia Francesca LuccaS. Anna Institute, Crotone, Italy.
Danilo LofaroEng, deHealth Lab-DIMEG, UNICAL, Arcavata di Rende, Italy.
Elio LetoS. Anna Institute, Crotone, Italy.
Maria UrsinoS. Anna Institute, Crotone, Italy.
Stefania RoganoS. Anna Institute, Crotone, Italy.
Antonio PileggiS. Anna Institute, Crotone, Italy.
Serafino VulcanoSan Giovanni di Dio Hospital, Crotone, Italy.
Domenico ConfortiEng, deHealth Lab-DIMEG, UNICAL, Arcavata di Rende, Italy.
Paolo ToninS. Anna Institute, Crotone, Italy.
Antonio CerasaS. Anna Institute, Crotone, Italy.
Istituto S.Anna Crotone · ITUniversity of Calabria · ITNuovo Ospedale San Giovanni di Dio · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we sought to assess the predictors of outcome in patients with disorders of consciousness (DOC) after severe traumatic brain injury (TBI) during neurorehabilitation stay. In total, 96 patients with DOC (vegetative state, minimally conscious state, or emergence from minimally conscious state) were enrolled (69 males; mean age 43.6 ± 20.8 years) and the improvement of the degree of disability, as assessed by the Disability Rating Scale, was considered the main outcome measure. To define the best predictor, a series of demographical and clinical factors were modeled using a twofold approach: (1) logistic regression to evaluate a possible causal effect among variables; and (2) machine learning algorithms (ML), to define the best predictive model. Univariate analysis demonstrated that disability in DOC patients statistically decreased at the discharge with respect to admission. Genitourinary was the most frequent medical complication (MC) emerging during the neurorehabilitation period. The logistic model revealed that the total amount of MCs is a risk factor for lack of functional improvement. ML discloses that the most important prognostic factors are the respiratory and hepatic complications together with the presence of the upper gastrointestinal comorbidities. Our study provides new evidence on the most adverse short-term factors predicting a functional recovery in DOC patients after severe TBI. The occurrence of medical complications during neurorehabilitation stay should be considered to avoid poor outcomes.

Indexed as

machine learningmedical complicationsneurorehabiliationpredictor factorssevere traumatic brain injury (sTBI)

Identifiers

PMID33192402
PMCPMC7641612
OpenAlexW3093595541

What OpenQuestion holds

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LicenceCC BY
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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.