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Record W2481724670 · doi:10.20286/nova-jmbs-050201

Plasma Proteins in Enterica Serovar Typhi patients in Northern Sudan

2016· article· en· W2481724670 on OpenAlexvenueno aff
Nagah A. A. Mohamed, Mohieldin Omer

Bibliographic record

VenueNova Journal of Medical and Biological Sciences · 2016
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsTyphoid feverAlbuminGlobulinTiterMedicineBlood proteinsInternal medicineSerum albuminImmunologyGastroenterologyAntibodyVirology

Abstract

fetched live from OpenAlex

Background: The study entailed a quantitative assessment of serum total protein, albumin, globulin, and albumin.Method: globulin ratio in individuals who diagnosed positively with typhoid fever and detection any alteration in plasma protein in receptiveness to typhoid titers. One hundred positively diagnosed with typhoid infection mean age (41.5 ± 2.1) years on zero day treatments. In addition to healthy one hundred individuals mean age (42.9 ± 1.9) years were recruited in this study.Results: There were significant difference P. value = 0.000 in total protein, serum albumin, serum globulin and A/G ratio for typhoid positive and negative, mean (8.4±0.01,6.8±0.06), (3.5±0.01, 4.1±0.03), (4.9±0.01, 2.8±0.06), (0.7 ± 0.003, 1.5 ± 0.02) respectively. No significant difference, P. value was 0.632, 0.832 and 0.760 serum total protein (7.5 ± 0.92, 7.6 ± 0.79) serum albumin (3.8 ± 0.38, 3.8 ± 0.37) and serum globulin (3.8 ± 0.16, 3.9 ± 0.16) for males and females respectively. Also no significant difference, P. value was 0.11, 0.60, and 0.06 serum total protein (8.4 ± 0.01, 8.4± 0.02) serum albumin (3.5 ± 0.01, 3.5 ± 0.01) and serum globulin (5.0 ± 0.01, 4.9 ± 0.01) for titer 1/160 and titer 1/320.Conclusion: Low albumin level and hypoglycemia should be surveillant when anti typhoid pharmaceutical commenced.Key words: Plasma Proteins, Enterica Serovar Typhi, Sudan

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.207

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.050
GPT teacher head0.308
Teacher spread0.258 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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