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Record W2125091165 · doi:10.1016/j.ijid.2009.11.033

When infections collide—gummatous syphilis in an HIV-infected individual

2010· article· en· W2125091165 on OpenAlexaff
Mark J. McVey, D. William Cameron, Paul MacPherson

Bibliographic record

VenueInternational Journal of Infectious Diseases · 2010
Typearticle
Languageen
FieldMedicine
TopicSyphilis Diagnosis and Treatment
Canadian institutionsUniversity of OttawaOttawa HospitalCanada Research ChairsUniversity of Toronto
Fundersnot available
KeywordsSyphilisMedicineTransmission (telecommunications)DiseasePediatricsHuman immunodeficiency virus (HIV)NeurosyphilisSexually transmitted diseasePenicillinSurgeryImmunologyInternal medicineAntibiotics

Abstract

fetched live from OpenAlex

Syphilis and HIV are both transmitted sexually and have emerged as important co-pathogens with reciprocal augmentation in transmission and disease progression. HIV-positive patients tend to experience more aggressive symptomatology due to syphilis and are at greater risk of developing neurological disease. Similarly, standard therapy for syphilis may be inadequate in HIV-positive individual suggesting intensified treatment regimens may be required along with close follow-up. We report here the case of a 50-year-old HIV-positive male presenting with an unusual constellation of neurological findings. Although he had been treated appropriately 10 years previously for primary syphilis, investigations revealed multiple current intracranial gummas. Treatment with high-dose intravenous penicillin G resulted in clinical and radiographic resolution. Given the broad differential for HIV-positive patients presenting with neurological symptoms, the clinician must maintain a high index of suspicion for syphilis known for its varied and at times unusual manifestations. Further, prior treatment of syphilis does not ensure cure and so syphilis must be considered irrespective of treatment history.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.013
GPT teacher head0.302
Teacher spread0.289 · 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

Citations8
Published2010
Admission routes1
Has abstractyes

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