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Is Propionibacterium acnes related to disc degeneration in adults? A systematic review

2019· review· en· W2528332452 on OpenAlexaboutno aff
Pedro Berjano, Jorge Hugo Villafañe, Dario Lo Re, Maryem Ismael, Marco Damilano, Lucia Bertozzi, Carlo Luca Romanò, Lorenzo Drago

Bibliographic record

VenueJournal of Neurosurgical Sciences · 2019
Typereview
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsPropionibacterium acnesMedicineGrading (engineering)DiseaseGrading scaleMEDLINEPathologyDermatologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The aim of this paper was to systematically review the evidence linking Propionibacterium acnes (P. acnes) with the development of symptomatic degenerative disc disease. EVIDENCE ACQUISITION: Data were obtained from MEDLINE from their inception to October 2015. Two authors independently conducted the searches, extracted data and completed methodological quality assessments. Articles were included if they investigated the presence of P. acnes in symptomatic degenerative disc disease through intra-operative cultural examination. The methodological quality of the studies was evaluated using the Newcastle-Ottawa Scale. EVIDENCE SYNTHESIS: Overall 641 articles were retrieved with 9 cross-sectional studies being included in the review. All selected studies revealed an association between P. acnes and disc degeneration. CONCLUSIONS: This study shows that there is a relationship between P. acnes and development of symptomatic degenerative disc disease. Despite this, we cannot support that P. acnes and development of symptomatic degenerative disc disease due to the low quality of the results according Grading of Recommendations Assessment, Development and Evaluation (GRADE).

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)0.005
metaresearch head score (Gemma)0.027
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 score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0090.008
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.417
Teacher spread0.325 · 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".

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

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Same venueJournal of Neurosurgical SciencesSame topicSpine and Intervertebral Disc PathologyFrench-language works237,207