Evaluation of the NucliSens Basic Kit for Detection of <i>Chlamydia trachomatis</i> and <i>Neisseria gonorrhoeae</i> in Genital Tract Specimens Using Nucleic Acid Sequence-Based Amplification of 16S rRNA
Bibliographic record
Abstract
We evaluated a new RNA amplification and detection kit, the NucliSens Basic Kit (Organon Teknika), for the detection of Chlamydia trachomatis and Neisseria gonorrhoeae in genitourinary specimens. The Basic Kit provides an open platform for RNA amplification and detection and contains isolation reagents for nucleic acid extraction, nucleic acid sequence-based amplification (NASBA) reagents (enzymes and buffers), and a generic ruthenium-labeled probe for electrochemiluminescent (ECL) detection of amplified product. Using freshly purified and titrated stocks of C. trachomatis and N. gonorrhoeae and in vitro-generated RNA transcripts for sensitivity determinations, the Basic Kit detected 1 inclusion-forming unit of C. trachomatis, 1 CFU of N. gonorrhoeae, and 100 RNA molecules of 16S rRNA for both bacteria. The clinical performance of the Basic Kit was evaluated by testing a total of 250 specimens for N. gonorrhoeae by culture and NASBA and a total of 96 specimens for C. trachomatis by PCR and NASBA. The Basic Kit detected 139 of 142 N. gonorrhoeae culture-positive specimens and gave a negative result for 73 of 74 culture-negative specimens, for a sensitivity and specificity of 97.9 and 98.7%, respectively. For C. trachomatis, the Basic Kit detected 24 of 24 PCR-positive specimens and gave a negative result for 71 of 72 PCR-negative specimens, for a sensitivity and specificity of 100 and 98.6%, respectively. The Basic Kit also detected specimens containing both N. gonorrhoeae and C. trachomatis, using a multiplex NASBA assay using primers for both bacteria. The NucliSens Basic Kit offers a versatile platform for the development of sensitive RNA detection assays for sexually transmitted diseases.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".