Waterpipe Smoking and Lumbar Intervertebral Disc Degeneration: A Pilot Study
Bibliographic record
Abstract
Study Design Retrospective study. Objective The objective of this study is to investigate the association of waterpipe smoking with lumbar intervertebral disc degeneration (IVDD). Methods This is a retrospective chart review study. A total of 286 adults who underwent a lumbar magnetic resonance imaging (MRI) at a tertiary medical center were included and divided into three groups. Group 1 (n = 125) included non-smokers, group 2 (n = 80) smoked cigarettes only, and group 3 (n = 81) smoked waterpipe only. The intervertebral discs were graded using the Pfirmann disc degeneration grading system. Results The study showed higher lumbar disc degeneration scores for waterpipe and cigarette smokers compared to non-smokers at all spinal levels. Specifically, post hoc analysis showed that there was a significant difference at L1-L2 between cigarette smokers and non-smokers ( P = 0.007) and between waterpipe smokers and non-smokers ( P = 0.013), and a significant difference at L3-L4 and L4-L5 between non-smokers and cigarettes smokers ( P < .001 and P = .029 respectively). Conclusion Waterpipe smoking is associated with lumbar intervertebral disc degeneration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".