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Dysphagia Rehabilitation intervention Strategies in Moderate-Severe Acquired Brain injury : a Scoping Review

2017· other· en· W6964444791 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsAcquired brain injuryCINAHLRehabilitationDysphagiaPsychological interventionIntervention (counseling)Randomized controlled trial

Abstract

fetched live from OpenAlex

Objectives: To conduct a scoping review of all available literature on interventions for dysphagia rehabilitation among individuals with acquired brain injury (ABI), to answer the research question: What literature is available investigating dysphagia-specific interventions for moderate-severe non-stroke ABI?Methods: A literature search was conducted using PubMed, MEDLINE, Embase, and CINAHL for studies published in English up to July 2018. Studies were included if: (1) a dysphagia rehabilitation intervention was provided to participants, (2) any of the participants had moderate to severe non-stroke ABI, and (3) there were nu22651 adult (u226518 years) participants. For each study meeting inclusion criteria, data on author(s), year, country of publication, study design, sample size, demographic information (age, gender, injury etiology), intervention type, comparators, and outcome measures were extracted. Levels of evidence were assigned to each study using the modified Sackett scale. Results: Among the 16 studies which met our inclusion criteria, eight studies had a population of <50% ABI, three had >50% ABI, and five included an unspecified percentage of ABI. Eleven studies (68.75%) were published in the last six years (2012-2018), with the five remaining studies (31.25%) published more than ten years ago (1990-2007). Fourteen studies were published as journal articles, and two were conference abstracts. Four studies originated in the United States, three from Spain, two from each of the following countries, Canada, Korea, and Japan, and one each from South Africa, Germany, and Italy. Two randomized controlled trials (RCTs) provided level 1b evidence, six studies (3 RCTs, 3 prospective controlled trials) were level 2 evidence, six (3 post-test, 3 pre-post) were level 4 evidence, and two case studies provided level 5 evidence. Nine different interventions were investigated for dysphagia rehabilitation, with electrical stimulation, individualized management programs, and diet manipulation being the most common interventions. Eleven unique outcome measures were used overall, which crossed several domains and evaluated various outcomes including swallowing function, nutritional status, and aspiration. Conclusions: The literature investigating dysphagia rehabilitation interventions for non-stroke ABI is limited, with wide variability in terms of intervention types, interventional study designs, study population injury etiology, and outcome assessment across studies. Although a growth in the number of dysphagia studies has been observed within recent years, there remains an important gap in the literature pertaining to dysphagia rehabilitation in non-stroke ABI populations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.062
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.062
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0170.014
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0030.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.423
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
Has abstractyes

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