ArticleCureus2023
Non-extraction Orthodontic Treatment Protocol of Moderate Crowding.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Prediction of Orthodontic Extraction Decisions Using Machine Learning Algorithms: A Retrospective Study.Journal of clinical and experimental dentistry · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dental crowding is referred to as the swarming of teeth, mainly due to the discrepancy between the size of the jaw bases and that of the teeth. When the amount of space required for the teeth is more than that in the jaws, it leads to crowding. The prevalence of crowding has now increased to almost 30-60%. It can be classified into mild, moderate, and severe according to the amount of overlap. Depending on the severity of the crowding, the decision of extraction is made. The given case presents a non-extraction protocol for treating moderate crowding. The present case report explains the non-extraction treatment of moderate crowding using inter-proximal stripping.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.