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Record W2990351701

Dose-dependent acute phase response of aqueous leaf decoction of Nerium oleander in Wistar rats.

2018· article· en· W2990351701 on OpenAlexaff
Muddasir Hassan Abbasi, Sana Fatima, Muhammad Babar Khawar, Naila Naz, Khawaja Abdul Mujeeb, Tasleem Akhtar, Nadeem Sheikh

Bibliographic record

VenuePubMed · 2018
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsCentennial College
Fundersnot available
KeywordsDecoctionTraditional medicineMedicineAqueous extractPharmacologyAcute toxicityDose dependenceToxicityInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Many studies have been carried out in order to determine the toxicity of medicinal plants. The objective of this study was to compare and analyze the hepatic response against two doses of Nerium oleander, (N. oleander) “kaner” leaf decoction. Aqueous leaf decoction was injected intramuscularly into both hind limbs of male rats (200∓10g), assigned into three categories (n=4): control group with no treatment; group I, injected with 5 ml/ kg; and group II injected with 10 ml/ kg of leaf decoction, respectively. Animals were sacrificed 6 h after administration and hepato-histological changes were then observed. The decoction induced an acute phase reaction reflected by a more significant recruitment of inflammatory cells in group II than in group I and controls, as observed by histological studies. These results indicated that both doses can induce an acute-phase condition. Hence, traditional practice of medicinal plants without preliminary dose assessment must not be administered.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.131
GPT teacher head0.418
Teacher spread0.287 · 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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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