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Record W4391822335 · doi:10.15379/ijmst.v11i1.3473

Assessing the Association between Neurocognitive Performance and Quality of Life in Individuals with Chronic Pain: A Cross-Sectional Study

2024· article· en· W4391822335 on OpenAlex
Muhammad Ali Hassan, Arham Yahya Rizwan Khan, Usman Baig, Rana Anees Ur Rehman, Ahmed Raza Tahir, Iman Hussain, Muneeb Hassan Khera, Misbah Azhar

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".

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

VenueInternational Journal of Membrane Science and Technology · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsNeurocognitiveCross-sectional studyAssociation (psychology)Quality of life (healthcare)Chronic painPsychologyClinical psychologyMedicinePsychiatryCognitionPsychotherapist

Abstract

fetched live from OpenAlex

Introduction: Chronic pain, a pervasive global health challenge, significantly impacts individuals' daily functioning and quality of life. This cross-sectional study explores the complex interplay between neurocognitive performance and quality of life in individuals experiencing chronic pain, recognizing the multifaceted nature of this phenomenon. Objectives Investigate the association between neurocognitive performance and chronic pain severity. Examine the relationship between neurocognitive deficits and different domains of quality of life in chronic pain. Methods: A diverse sample of 113 participants from Islamabad and Rawalpindi underwent correlational analysis. Neurocognitive performance was assessed using the Montreal Cognitive Assessment (MoCA), chronic pain severity was determined by pain history, and quality of life was measured using a validated scale. Demographic information was collected through an online survey. Results: The sample exhibited diversity in age, gender, and education. Pain history varied, with a majority reporting pain duration of 1-2 years. Neurocognitive performance, measured by MoCA, showed a mean score of 6.6 (±2.1), while the Quality of Life Scale yielded a mean score of 82 (±15). Correlation analysis revealed a weak negative association between neurocognitive performance and quality of life, though statistically non-significant (p = .279). Similarly, the correlation between pain history duration and neurocognitive performance was minimal and non-significant (p = .757). Conclusion: Contrary to expectations, the study did not find a significant correlation between neurocognitive performance and quality of life in individuals with chronic pain. The nuanced relationships observed highlight the complexity of chronic pain experiences, emphasizing the need for a comprehensive understanding that goes beyond the traditional pain-cognition paradigm. Tailored interventions should consider individual differences and address diverse cognitive and psychosocial factors, aiming to improve the overall well-being of those navigating the challenges of chronic pain.

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)0.006
metaresearch head score (Gemma)0.002
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 score0.012
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.026
GPT teacher head0.372
Teacher spread0.346 · 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