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Record W4205394033 · doi:10.1155/2022/5389162

Decreased Adiponectin Levels Are a Risk Factor for Cognitive Decline in Spinal Cord Injury

2022· article· en· W4205394033 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDisease Markers · 2022
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsAdiponectinMedicineMontreal Cognitive AssessmentInternal medicineCognitive declineDiabetes mellitusBiomarkerSpinal cord injuryEndocrinologyPhysical therapyInsulin resistanceCognitive impairmentSpinal cordDiseaseDementiaPsychiatryBiology

Abstract

fetched live from OpenAlex

Objective. Spinal cord injury (SCI) has become popular in recent years, and cognitive decline is a common complication. Adiponectin is a common protein hormone involved in the course of many diseases, but its relationship with SCI has not yet been elucidated. The purpose of our prospective study is to explore whether adiponectin can be used as a biomarker of cognitive decline in SCI. Methods. A total of 64 healthy volunteers and 92 patients with acute SCI were recruited by us. Serum adiponectin levels, demographic data (age and gender), lifestyle (smoking and drinking), medical history (diabetes and hypertension), and clinical baseline data (low-density lipoprotein, high-density lipoprotein, and fasting blood glucose) were recorded. Three months after enrollment, we used the Montreal Cognitive Assessment (MoCA) to evaluate cognitive function. Based on a quarter of the serum adiponectin levels, SCI patients were divided into 4 groups, and the differences in their MoCA scores were compared. In addition, we used multivariate linear regression to predict the risk factors of the MoCA score. Results. The serum adiponectin level ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mn>6.1</mn> <mo>±</mo> <mn>1.1</mn> <mtext> </mtext> <mi>μ</mi> <mtext>g</mtext> <mo>/</mo> <mtext>ml</mtext> </math> ) of SCI patients was significantly lower than that of the healthy control group ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mn>6.7</mn> <mo>±</mo> <mn>0.9</mn> <mtext> </mtext> <mi>μ</mi> <mtext>g</mtext> <mo>/</mo> <mtext>ml</mtext> </math> ), and there was a significant difference between the two ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M3"> <mi>p</mi> <mo>&lt;</mo> <mn>0.001</mn> </math> ). The group with higher serum adiponectin levels after 3 months of spinal cord injury had higher MoCA scores. Multivariate regression analysis showed that serum adiponectin level is a protective factor for cognitive function after SCI ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M4"> <mi>β</mi> <mo>=</mo> <mn>0.210</mn> </math> , <math xmlns="http://www.w3.org/1998/Math/MathML" id="M5"> <mi>p</mi> <mo>=</mo> <mn>0.043</mn> </math> ). Conclusions. Serum adiponectin levels can be used as an independent predictor of cognitive function in patients with acute SCI.

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.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.068
GPT teacher head0.405
Teacher spread0.338 · 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