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Record W4402841519 · doi:10.1055/s-0044-1788773

Treatment of a Large Gluteal Hydatid Cyst in Syria Using a Manual Negative Pressure Wound Therapy Device (PragmaVAC)

2024· article· en· W4402841519 on OpenAlexfundno aff
Measser Netfagi, Hisham Alshaer, Ali Abbara, M. Hariri

Bibliographic record

VenueAvicenna Journal of Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicParasitic infections in humans and animals
Canadian institutionsnot available
FundersGrand Challenges CanadaGlobal Affairs CanadaGovernment of the United KingdomUnited States Agency for International Development
KeywordsMedicineAlbendazoleHydatid cystSurgeryCystNegative-pressure wound therapyAbscessGluteal regionDifferential diagnosisPathology

Abstract

fetched live from OpenAlex

The lungs and liver are the most common sites of hydatid cysts, but they may also be found in other organs. We report the case of a lady in her 50s who presented to a hospital in northwest Syria with a large swelling in the right gluteal region. This was diagnosed as a gluteal abscess, and an incision and drainage were performed. Intraoperatively, a hydatid cyst germinal membrane was noted. She had the required imaging to exclude other cysts, which revealed a liver hydatid cyst of 7.5 cm, which was treated with PAIR (puncture, aspiration, injection, and re-aspiration) and albendazole. The residual wound was closed using a manual vacuum-assisted closure (VAC) pump for seven days. A key lesson is that a hydatid cyst in the gluteal muscles, though rare, should be considered in the differential diagnosis. We also show that the innovative use of a manual VAC pump can be used to support closure of large hydatid cyst cavities in muscles.

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)0.001
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.405
Teacher spread0.355 · 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
Published2024
Admission routes1
Has abstractyes

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