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Record W2000742624 · doi:10.1186/2045-824x-3-14

Effects on duration of post-operative ischemia and patterns of blood flow recovery in different conditions of mouse hind limb ischemia

2011· article· en· W2000742624 on OpenAlexaff
Husain Al-Mubarak, Talal Alamri, Saif Aljabab, Muhammad Atteya, Adrian Quan, Hwee Teoh, Praphulla Chandra Shukla, Subodh Verma, Abdullah Aldahmash, Badr Aljabri, Claudio Napoli, Mohammed Al‐Omran

Bibliographic record

VenueVascular Cell · 2011
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsSt. Michael's Hospital
FundersKing Saud University
KeywordsMedicinePerfusionLigationFemoral arteryIschemiaBlood flowSurgeryPerfusion scanningFibrous jointNuclear medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Current limitations to the experimentation on patients with peripheral arterial disease push the development of different preclinical strategies. We investigated both duration of ischemia and blood flow recovery in mouse models of partial femoral artery ligation. METHODS: Male BALB/c mice were used. The ligation over needle method involved placing a suture needle over the femoral artery, ligating over it and then removing the needle. The transfixation method involved transfixing the approximate center of the femoral artery and then tying the suture. Laser Doppler Perfusion Imaging was used to assess perfusion every 3rd day until 42 days after the procedure. RESULTS: Ligation over needle method: Immediately post procedure, mean perfusion was -71.87% ± 4.43. Then mean difference in perfusion remained below the base line reading on days 3, 6, 9, and 12. From day 15 on wards mean perfusion progressively improved remaining near base line. Transfixation Method: Immediately post procedure mean perfusion was -70.82% ± 4.73. Mean perfusion improved following the procedure on days 3 and 6; a plateau followed this on days 9, 12 and 15. From day 15 onwards perfusion progressively improved remaining well below base line until crossing it on day 36. CONCLUSION: The currently described models do not pose major improvements over previously described methods.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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