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Record W2029985476 · doi:10.4103/0974-2727.129085

Schistosomiasis of the Appendix in a Tertiary Hospital in Northern Nigeria: A 22-Year Review

2014· review· en· W2029985476 on OpenAlexaff
Saad Ahmed, Mohammed Umar, Robert B. Sanda, Jerry Godfrey Makama, Mohammed Sani Shehu, Emmanuel A. Ameh, A A Mayun

Bibliographic record

VenueJournal of Laboratory Physicians · 2014
Typereview
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsCalgary General Hospital
Fundersnot available
KeywordsSchistosomiasisAppendixAppendicitisMedicineIncidence (geometry)Abdominal painSchistosomaHelminthsPathologyVeterinary medicineGeneral surgerySurgeryImmunologySchistosoma mansoniBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Schistosomiasis is one of the neglected tropical diseases caused by a trematode, Schistosoma spp, and affects many systems in the body including the gastrointestinal tract. Schistosomiasis of the appendix is a well-recognized disease and presents as a chronic granulomatous inflammation. This study aims to document the frequency and pattern of distribution of schistosomal appendicitis in our environment. MATERIALS AND METHODS: This is a retrospective histopathological review of schistosomiasis of the appendix in the Department of Pathology, Ahmadu Bello University Teaching Hospital, Zaria - Nigeria, between January 1, 1991 to December 31, 2012. RESULTS: Within the study period, there were 1,464 appendectomy specimens histologically examined in the Pathology Laboratory. Thirty of these, representing 2.1%, were diagnosed as schistosomiasis of the appendix. The male:female ratio was 6.5:1 and peak age incidence was in the 20-29 years age group. Abdominal pains, vomiting and fever were seen in 23 (76.7%) and altered bowel motion in seven (23.3%) patients. CONCLUSION: This study showed that schistosomiasis of the appendix is not rare and that its presentation is similar to other forms of appendicitis. There is a need to focus on the prevention of schistosomiasis in order to reduce morbidity among these economically viable age groups.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.848
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.288
Teacher spread0.280 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations20
Published2014
Admission routes1
Has abstractyes

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