Sensitivity and Specificity of the Distress Thermometer in Screening for Distress in Long-Term Nasopharyngeal Cancer Survivors
Bibliographic record
Abstract
BACKGROUND: The Distress Thermometer (dt) is a screening tool recommended to quickly identify cancer patients with distress. Our study aimed to examine the sensitivity and specificity of the dt in detecting psychological distress in long-term Chinese nasopharyngeal cancer (npc) survivors. METHODS: Data for the 442 participating npc survivors were collected through a self-administered questionnaire based on the dt and the Hospital Anxiety and Depression Scale (hads). The hads was used to define cases of psychological distress. Positive and negative groups were defined based on 4 hads criteria (Anxiety, Depression, Anxiety or Depression, and overall score). Receiver operating characteristic (roc) curves were used to examine the ability of all possible cut-off values of the dt to detect positive and negative cases. For each roc curve, the area under the curve (auc) was used as an indicator of the overall accuracy of the dt to identify positive cases of distress. RESULTS: The positive auc values [with 95% confidence intervals (ci)] for the 4 hads criteria were 0.715 (95% ci: 0.667 to 0.764), 0.714 (95% ci: 0.661 to 0.768), 0.724 (95% ci: 0.677 to 0.771), and 0.724 (95% ci: 0.664 to 0.775) respectively. At a cut-off score of 4, the sensitivity of the dt to the four hads criteria was, respectively, 0.366 (95% ci: 0.296 to 0.436), 0.448 (95% ci: 0.364 to 0.532), 0.362 (95% ci: 0.299 to 0.425), and 0.421 (95% ci: 0.339 to 0.502), and the specificity of the dt to the 4 hads criteria was, respectively, 0.860 (95% ci: 0.818 to 0.902), 0.860 (95% ci: 0.821 to 0.899), 0.854 (95% ci: 0.814 to 0.894), and 0.854 (95% ci: 0.814 to 0.894). At a cut-off score of 5, the corresponding sensitivities were lower than those at the cut-off score of 4. All potential cut-off scores showed poor sensitivity (<0.90). CONCLUSIONS: The roc analysis showed poor discrimination. No potential dt cut-off score had an acceptable sensitivity. The dt showed poor sensitivity in npc survivors. Thus, the dt might not be a valid scale for psychological distress screening in long-term Chinese npc survivors.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".