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Record W4362577989 · doi:10.14740/jmc4055

Fracture Neck of the Femur: A Case of Two Pathologies

2023· article· en· W4362577989 on OpenAlexvenueno aff
Mohamed H. Ahmed, Shravani Joshi, Amirmohammad Heidari, Oliver Pearce, Maria Panourgia, Henry Owles, Moez Dungarwalla

Bibliographic record

VenueJournal of Medical Cases · 2023
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadiologyPelvisThyroidInternal medicine

Abstract

fetched live from OpenAlex

We report a case of a 65-year-old woman who sustained a left neck of femur (NOF) fracture following low-energy trauma. Computed tomography (CT) scan for the neck, chest, abdomen and pelvis was normal apart from enlargement of the right lobe of the thyroid. Interestingly, thyroid function was normal. While waiting for the result of thyroid cytology and bone histology, the patient recovered well from the operation and started to engage well with physiotherapy. The result of the investigation showed presence of diffuse large B-cell lymphoma in the left NOF and right lobe of the thyroid. As the presence of lymphoma only in these two organs is extremely rare, it is not yet clear what is underlying mechanism for such association. Therefore, such observations may raise many future research questions as detailed in the discussion of this case report. This case also illustrates the importance of a multidisciplinary approach in identifying, evaluating, and treating unique and complex presentations of NOF fracture, with a focus on the patient's history, clinical examination and applying diagnostic tools.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.003
Science and technology studies0.0050.003
Scholarly communication0.0030.003
Open science0.0020.005
Research integrity0.0110.004
Insufficient payload (model declined to judge)0.0040.002

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 head0.066
GPT teacher head0.398
Teacher spread0.331 · 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 designCase report
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes1
Has abstractyes

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