Internalizing and externalizing symptoms in individuals with neurofibromatosis type 1: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Individuals with neurofibromatosis type 1 (NF1) frequently report psychosocial problems, among which internalizing and externalizing symptoms are the most poorly understood due to limited research and inconsistent evidence. This hinders the overall attendance of their psychosocial needs and has a major impact on their quality of life. Thus, this systematic review and meta-analysis was conducted to synthesize existing findings on the degree to which individuals with NF1 experience internalizing and externalizing symptoms, compared with the unaffected population, and explore moderators of the group disparities. METHODS: Scopus, PsycINFO, Web of Science, PubMed, and ProQuest were searched from inception to March 26th, 2024, which identified 59 eligible studies (N of NF1 = 3182, mean ages 2.38 to 46.4 years). Hedges' g was calculated for differences in internalizing and externalizing symptoms between the NF1 group and the unaffected controls. Study effect sizes were pooled using robust variance estimation and random-effects models. Moderators of group differences were tested using meta-regression. RESULTS: Random-effects meta-analyses indicated that compared with unaffected controls, individuals with NF1 showed more severe depressive (k = 21; g = 0.43; 95% CI [0.21, 0.65]), anxiety (k = 24; g = 0.27; 95% CI [0.01, 0.54]), somatic (k = 27; g = 0.56; 95% CI [0.30, 0.83]), total internalizing (k = 75; g = 0.50; 95% CI [0.33, 0.67]), aggression (k = 33; g = 0.33; 95% CI [0.08, 0.58]), delinquency, (k = 37; g = 0.43; 95% CI [0.26, 0.60]), and total externalizing symptoms (k = 47; g = 0.24; 95% CI [0.13, 0.35]). Studies that included more participants with NF1 who had ADHD or a lower verbal IQ reported greater group disparities in total internalizing symptoms or aggression. CONCLUSIONS: Findings highlight the importance of promptly recognizing internalizing and externalizing symptoms in individuals with NF1 for timely interventions. Future research should identify predictors of internalizing and externalizing symptoms within the NF1 population to inform our knowledge and intervention development. Other implications for future research were also discussed. SYSTEMATIC REVIEW REGISTRATION: The study protocol of this meta-analysis was registered at PROSPERO (CRD42023478258).
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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 | 0.013 | 0.030 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.036 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".