<scp>COVID</scp>‐19 rapid antigen tests approved for self‐testing in Australia: published diagnostic test accuracy studies and manufacturer‐supplied information. A systematic review
Bibliographic record
Abstract
OBJECTIVES: To review evaluations of the diagnostic accuracy of coronavirus disease 2019 (COVID-19) rapid antigen tests (RATs) approved by the Therapeutic Goods Administration (TGA) for self-testing by ambulatory people in Australia; to compare these estimates with values reported by test manufacturers. STUDY DESIGN: Systematic review of publications in any language that reported cross-sectional, case-control, or cohort studies in which the participants were ambulatory people in the community or health care workers in hospitals in whom severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was suspected, and the results of testing self-collected biological samples with a TGA-approved COVID-19 RAT were compared with those of reverse transcription-polymerase chain reaction (RT-PCR) testing for SARS-CoV-2. Estimates of diagnostic accuracy (sensitivity, specificity) were checked and compared with manufacturer estimates published on the TGA website. DATA SOURCES: Publications (to 1 September 2022) identified in the Cochrane COVID-19 Study Register and the World Health Organization COVID-19 research database. Information on manufacturer diagnostic accuracy evaluations was obtained from the TGA website. DATA SYNTHESIS: Twelve publications that reported a total of eighteen evaluations of eight RATs approved by the TGA for self-testing (manufacturers: All Test, Roche, Flowflex, MP Biomedicals, Clungene, Panbio, V-Chek, Whistling) were identified. Five studies were undertaken in the Netherlands, two each in Germany and the United States, and one each in Denmark, Belgium, and Canada; test sample collection was unsupervised in twelve studies, and supervised by health care workers or researchers in six. Estimated sensitivity with unsupervised sample collection ranged from 20.9% (MP Biomedicals) to 74.3% (Roche), and with supervised collection from 7.7% (V-Chek) to 84.4% (Panbio); the estimates were between 8.2 and 88 percentage points lower than the values reported by the manufacturers. Test specificity was high for all RATs (97.9-100%). CONCLUSIONS: The risk of false negative results when using COVID-19 RATs for self-testing may be considerably higher than apparent in manufacturer reports on the TGA website, with implications for the reliability of these tests for ruling out infection.
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How this classification was reachedexpand
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 | 0.008 | 0.488 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".