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Record W2944220244 · doi:10.2196/12391

Quality of Life and Clinical Outcome After Traumatic Spleen Injury (SPLENIQ Study): Protocol for an Observational Retrospective and Prospective Cohort Study

2019· article· en· W2944220244 on OpenAlexvenueno aff
Claudia P.A.M. Raaijmakers, Paul N.M. Lohle, Paul Lodder, Jolanda De Vries

Bibliographic record

VenueJMIR Research Protocols · 2019
Typearticle
Languageen
FieldMedicine
TopicAbdominal Trauma and Injuries
Canadian institutionsnot available
FundersZonMw
KeywordsObservational studyMedicineRetrospective cohort studyProtocol (science)Cohort studyQuality of life (healthcare)PsychologySurgeryAlternative medicineInternal medicineNursingPathology

Abstract

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BACKGROUND: Little is known about the effect of a splenic rupture on the quality of life (QOL) of patients, although the spleen is one of the most frequently injured organs in blunt abdominal trauma. It is essential to obtain more knowledge about QOL after traumatic spleen injury so that this can be taken into account when choosing treatment. OBJECTIVE: The primary objective of the SPLENic Injury and Quality of life (SPLENIQ) study is to determine QOL after treatment for traumatic spleen injury. The secondary objective is to investigate clinical and imaging outcome in relation to QOL. METHODS: A combination of a retrospective single-center and a prospective multicenter observational cohort study will be conducted. Patients in the retrospective study have had a splenic injury after blunt abdominal trauma and were admitted for treatment to the ETZ Hospital (Elisabeth-TweeSteden Ziekenhuis) in Tilburg between January 2005 and February 2017. Concerning the prospective cohort study, patients with splenic injury admitted to 1 of the 10 participating hospitals between March 2017 and December 2018 will be asked to participate. The follow-up period will be 1 year regarding QOL, clinical symptoms, and imaging. Patients in the retrospective study will complete 2 questionnaires: World Health Organization QOL assessment instrument-Bref (WHOQOL-Bref) and 12-Item Short-Form Health Survey (SF-12). Patients in the prospective study will complete 5 questionnaires at 1 week, 1 month, 3 months, 6 months, and 12 months after treatment: WHOQOL-Bref, SF-12, Euroqol 5-Dimensional 5-Level (EQ-5D-5L) questionnaire, Institute for Medical Technology Assessment (iMTA) Productivity Cost Questionnaire (iPCQ), and iMTA Medical Consumption Questionnaire (iMCQ). In both the retrospective and prospective study, patients treated with splenic artery embolization will undergo magnetic resonance imaging (MRI). The retrospective group will undergo MRI once, and the prospective group will undergo MRI 1 month and 1 year after treatment. Treatment of splenic injury depends on the severity of the splenic injury, the hemodynamic condition of the patient, and the hospital's or doctor's preference. This study is observational in nature without randomization. Concerning the retrospective data, multivariate analysis of covariance will be done. With regard to the prospective data, mixed linear modeling will be performed. RESULTS: This project was funded in April 2015 by ZonMw. The results of the retrospective study will be expected in March 2019. With regard to the prospective study, inclusion of patients was completed in December 2018 and data collection will be completed in December 2019. The first results will be expected in 2019. CONCLUSIONS: To our knowledge, this is the first study that examines QOL in patients with a traumatic spleen injury. The SPLENIQ study responds to the shortage of information about QOL after treatment for traumatic spleen injury and may result in the development of a patient-oriented protocol. TRIAL REGISTRATION: ClinicalTrials.gov NCT03099798; https://clinicaltrials.gov/ct2/show/NCT03099798 (Archived by WebCite at http://www.webcitation.org/714ZKV6A0). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/12391.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.060
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.587
GPT teacher head0.672
Teacher spread0.085 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreProtocol

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".

Quick stats

Citations6
Published2019
Admission routes1
Has abstractyes

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