Disparities in cancer screening in people with mental illness across the world versus the general population: prevalence and comparative meta-analysis including 4 717 839 people
Why this work is in the frame
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Bibliographic record
Abstract
Background Since people with mental illness are more likely to die from cancer, we assessed whether people with mental illness undergo less cancer screening compared with the general population. Methods In this systematic review and meta-analysis, we searched PubMed and PsycINFO, without a language restriction, and hand-searched the reference lists of included studies and previous reviews for observational studies from database inception until May 5, 2019. We included all published studies focusing on any type of cancer screening in patients with mental illness; and studies that reported prevalence of cancer screening in patients, or comparative measures between patients and the general population. The primary outcome was odds ratio (OR) of cancer screening in people with mental illness versus the general population. The Newcastle-Ottawa Scale was used to assess study quality and I2 to assess study heterogeneity. This study is registered with PROSPERO, CRD42018114781. Findings 47 publications provided data from 46 samples including 4 717 839 individuals (501 559 patients with mental illness, and 4 216 280 controls), of whom 69·85% were women, for screening for breast cancer (k=35; 296 699 individuals with mental illness, 1 023 288 in the general population), cervical cancer (k=29; 295 688 with mental illness, 3 540 408 in general population), colorectal cancer (k=12; 153 283 with mental illness, 2 228 966 in general population), lung and gastric cancer (both k=1; 420 with mental illness, none in general population), ovarian cancer (k=1; 37 with mental illness, none in general population), and prostate cancer (k=6; 52 803 with mental illness, 2 038 916 in general population). Median quality of the included studies was high at 7 (IQR 6–8). Screening was significantly less frequent in people with any mental disease compared with the general population for any cancer (k=37; OR 0·76 [95% CI 0·72–0·79]; I2=98·53% with publication bias of Egger's p value=0·025), breast cancer (k=27; 0·65 [0·60–0·71]; I2=97·58% and no publication bias), cervical cancer (k=23; 0·89 [0·84–0·95]; I2=98·47% and no publication bias), and prostate cancer (k=4; 0·78 [0·70–0·86]; I2=79·68% and no publication bias), but not for colorectal cancer (k=8; 1·02 [0·90–1·15]; I2=97·84% and no publication bias). Interpretation Despite the increased mortality from cancer in people with mental illness, this population receives less cancer screening compared with that of the general population. Specific approaches should be developed to assist people with mental illness to undergo appropriate cancer screening, especially women with schizophrenia. Funding None.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it