pH Testing as the Primary Method for Nasogastric Tube Placement Verification
Bibliographic record
Abstract
The placement of a nasogastric tube is a common intervention completed by nurses in the clinical setting. Correct placement of a nasogastric tube is critical for treatment and patient outcomes. There are many reasons for a nasogastric tube insertion and many methods of placement verification, but the two most common ways of assessing nasogastric tube placement are auscultation and pH testing. There are advantages and disadvantages to both the auscultation and the pH testing methods. The auscultation method is currently the method most commonly used in practice. However, the overall research analysis clearly suggests that the pH testing method is the most accurate and is accompanied by positive patient outcomes. Study limitations included small sample sizes and were often located outside of Canada, but all studies presented similar evidence in regards to auscultation versus pH testing. Finally, based on the analysis of the evidence, recommendations are made and barriers to implementation are outlined for practice regarding the implementation of the pH method.
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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 | 0.034 | 0.091 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".