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Record W2048115387 · doi:10.4103/0028-3886.115058

Prognostic value of magnetic resonance imaging in patients with clinically isolated syndrome conversion to multiple sclerosis: A meta-analysis

2013· review· en· W2048115387 on OpenAlex
Yuli Hou, Weiyan Zhang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNeurology India · 2013
Typereview
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMagnetic resonance imagingMeta-analysisMultiple sclerosisClinically isolated syndromeValue (mathematics)Nuclear magnetic resonanceRadiologyPathologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Numerous studies have investigated the associations of brain or spinal cord MRI with the risk of developing Multiple Sclerosis (MS) in people with Clinically Isolated Syndrome (CIS), however, the findings are uncertain. Therefore, we performed a meta-analysis based on 24 publications to comprehensively evaluate such associations. MATERIALS AND METHODS: The databases of EMBASE and MEDLINE (January 1980-August 2011) were searched electronically for all relevant studies. Data were extracted from each study independently by both reviewers using a predefined structured spreadsheet. The quality of each study was assessed independently by two reviewers according to Newcastle-Ottawa Scale for reading cohort study proposed by Deeks et al. The meta-analysis including 24 qualified studies was performed by using the Cochrane Collaborations RevMan5.0 software. RESULTS: Twenty-four identified studies met the inclusion criteria and minimum quality threshold. A meta-analysis of cohort studies indicated that the CISs having MRI lesions did have significantly increased risk for MS (risk ratio [RR] = 3.71, 95% confidence interval [CI], 3.27-4.21, P < 0.00001). In the subgroup analysis (according to the number of T2 lesions at baseline), the risk of developing MS in CIS patients with the medium MRI burden (4-9 lesions) was higher than with the low MRI burden (1-3 lesions) (RR = 0.66,95% CI, 0.45-0.95, P < 0.00001). While, no correlation was found in group between the medium MRI burden and the high MRI burden(>9 lesions) (RR = 0.97, 95% CI, 0.82-1.15, P = 0.72). Meanwhile, the CIS patients with abnormal baseline MRI, especially with infratentorial lesions, had a high risk of conversion to MS compared to patients without the such infratentorial lesions (RR = 1.37, % CI, 1.09-1.73, P = 0.0008). CONCLUSIONS: Despite some limitations, this meta-analysis established solid statistical evidence for an association between the presence or absence of MRI lesions within the brain or spinal cord MRI and the risk of developing MS, particularly for studies with large sample size. The CIS patients with abnormal baseline MRI, especially with infratentorial lesions, had a high risk of conversion to MS. However, this association warrants additional validation in larger and well designed studies.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0020.002
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 head0.091
GPT teacher head0.332
Teacher spread0.241 · 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