Supplementary Material for: Association Between Marital/Partner Status and Patient-reported Outcomes in Stroke Patients: A Systematic Review
Bibliographic record
Abstract
Background: The extent to which marital/partner status affects patient-reported outcome measures (PROMs) in stroke patients varies among reported studies. We conducted a systematic review and meta-analysis to clarify this relationship. Methods: Five databases (Medline, Web of Science, Scopus, EMBASE, and PsycINFO) were searched from inception to April 15, 2024. Peer-reviewed studies that reported the independent association of marital/partner status with defined PROMs for patients who had a stroke were eligible for inclusion. Results for eligible studies were classified into four pre-defined outcome domains (health-related quality of life [HRQoL], functional status, symptoms, and personal recovery outcomes). Study quality was appraised using the Newcastle-Ottawa Scale, and data were synthesized by outcome domains. Results: We identified 51 studies (n=552,943 participants), of which 10 were included in meta-analyses. Being married/partnered was associated with a lower likelihood of post-stroke depression (pooled OR, 0.62 [95%CI, 0.43 to 0.89], I2=0%) and anxiety (pooled OR, 0.32 [95%CI, 0.21 to 0.49], I2=0%) but was not associated with HRQoL (mixed and insignificant association in physical and mental domains). Qualitative synthesis further suggested that most studies supported better functional and personal recovery outcomes for stroke patients who were married/partnered compared with those who were unpartnered. Data were insufficient to determine whether the association of partner status varied by the sex of the stroke patient. Conclusions: Our findings highlight the importance of the influence of marital/partner status on PROMs among stroke patients for mental health, but not for HRQoL. Future research should aim to harmonize assessments and standardize reporting to enhance further investigation of these associations, determine whether there are differences by sex, and further explore the association between marital/partner status and poststroke functional outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.059 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.010 | 0.013 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.525 | 0.023 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".