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Record W2614982214 · doi:10.20546/ijcmas.2017.605.069

Immune Mediated Haemolytic Anaemia Secondary to Sheathed Microfilaria – A Case Report

2017· article· en· W2614982214 on OpenAlexaboutno aff
M J Ashwini, Usha Narayana Pillai

Bibliographic record

VenueInternational Journal of Current Microbiology and Applied Sciences · 2017
Typearticle
Languageen
FieldMedicine
TopicBlood properties and coagulation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGastroenterologyDirect agglutination testMicrofilariaAlbendazoleInternal medicineSerologySurgeryImmunologyAntibodyHelminthsFilariasis

Abstract

fetched live from OpenAlex

A one year old female Labrador dog was presented to University Veterinary Hospital Kokkalai, with a history of anorexia, weakness, blood in urine and faeces. On physical examination mucous membranes were pale icteric, fever (105.30F), tachypnoea was noticed. Abdominal palpation revealed splenomegaly which was confirmed by ultrasonography. Haemotological examination revealed leucocytosis, severe macrocytic hypochromic anaemia (VPRC-9.4%) and thrombocytopenia. Wet film was positive for microfilaria and confirmed as brugiaspp on Giemsa staining of thick blood smear. Leptospirosis was ruled out by MAT. Biochemical studies showed hyperglobulinema, elevated ALT and indirect bilirubin. The blood was positive for saline agglutination test and further antiglobulin test was carried out at 370C using VMRD polyvalent Coombs’ reagent which was positive at 1:32 dilution. Treatment was initiated with a dexamethasone @ 0.5 mg/kg IV for 7 days, then tapered to 0.25 mg/kg for 7 days and 0.125 mg/kg for next 7 days PO. The pet was transfused with 250 ml of whole blood on the day of admission and supportive therapy with amoxicillin-clavulanic acid 600mg IV (14 days), levamisole @ 10mg/kg for 10 days, pantoprazole and haematinics were given. The pet made an uneventful recovery.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.330
Teacher spread0.294 · 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 designBench or experimental
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
Published2017
Admission routes1
Has abstractyes

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