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Record W4200564513 · doi:10.14740/jmc3801

Acute Colonic Pseudo-Obstruction in Severe Falciparum Malaria: A Case Report

2021· article· en· W4200564513 on OpenAlexvenueno aff
Peng Yao, Peng Jiang Zhang, Dong He, Yang Sun

Bibliographic record

VenueJournal of Medical Cases · 2021
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMalariaPlasmodium falciparumSevere MalariaGastroenterologyInternal medicineIntensive care medicineImmunology

Abstract

fetched live from OpenAlex

Severe falciparum malaria is associated with multiple organ dysfunctions. The most manifestations of severe falciparum malaria are cerebral malaria, acute lung injury, and acute kidney injury. Acute colonic pseudo-obstruction is extremely rare. Early recognition and management are essential because a delay in diagnosis is associated with substantial morbidity and mortality. A 29-year-old peacekeeper in the Democratic Republic of Congo (DRC) was diagnosed as severe falciparum malaria with high-grade fever, jaundice, electrolyte disturbance, and thrombocytopenia. Although adequate antimalaria therapy with intramuscular artemether was given, the patient had persistent fever, shallow and fast breathing, and abdominal pain. Investigations suggested a diagnosis of acute colonic pseudo-obstruction. Antimalarial therapy was continued with intravenous artesunate. And rectal decompression and fasting were taken. Soon, symptoms of colonic obstruction mitigated. And the patient was cured and discharged. Acute colonic pseudo-obstruction should be considered for severe malaria patients with abdominal distention and pain. The early diagnosis and proper management of the patient with severe malaria complicated with acute colonic pseudo-obstruction are the keys to a good prognosis.

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)0.003
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0040.002
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.025
GPT teacher head0.339
Teacher spread0.315 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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