ArticleClinical oral implants research2025
Statistical Gems and Cautions From the Statistical Advisory Board of Clinical Oral Implants Research.
Article in Clinical oral implants research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveStatistics is fundamental in implant dentistry research, playing a crucial role in study design, data analysis, and interpretation of findings. This editorial, authored by members of the Statistical Advisory Board of Clinical Oral Implants Research, aims to highlight common statistical pitfalls encountered in submitted manuscripts and provide practical recommendations to enhance the quality of statistical reporting. MATERIALS AND
methodsIn this editorial, study design considerations, sample size calculation, appropriate selection of statistical tests, multiplicity issues, handling hierarchical data structures, and best practices for data presentation are discussed. The importance of pre-registering research protocols, adhering to pre-specified analyses, and reporting effect sizes alongside p-values is emphasised. Additionally, common misinterpretations of statistical significance and the risks of extrapolating findings beyond their intended scope are addressed.
resultsStatistical errors remain prevalent in the scientific literature, affecting the validity of results and evidence-based decision making.
conclusionsBy following guidelines, authors can improve the robustness and reproducibility of their research, ultimately contributing to higher-quality evidence in implant dentistry. Guidance for researchers, reviewers, and readers in handling statistical challenges is presented aiming to ensure that studies published in Clinical Oral Implants Research meet the highest methodological standards.
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.