Evidence map›Paper›PMID 37685267›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Short- and Long-Term Prediction of the Post-Pubertal Mandibular Length and

Matthew Parrish, Ella O'Connell, George Eckert, Jay Hughes, Sarkhan Badirli, Hakan Turkkahraman

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Matthew ParrishDepartment of Orthodontics and Oral Facial Genetics, Indiana University School of Dentistry, Indiana University Purdue University at Indianapolis, Indianapolis, IN 46202, USA.
Ella O'ConnellIndiana University School of Dentistry, Indiana University Purdue University at Indianapolis, Indianapolis, IN 46202, USA.
George EckertDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0001-7798-7155
Jay HughesDepartment of Orthodontics and Oral Facial Genetics, Indiana University School of Dentistry, Indiana University Purdue University at Indianapolis, Indianapolis, IN 46202, USA.
Sarkhan BadirliEli Lilly and Company, Indianapolis, IN 46225, USA.
Hakan TurkkahramanDepartment of Orthodontics and Oral Facial Genetics, Indiana University School of Dentistry, Indiana University Purdue University at Indianapolis, Indianapolis, IN 46202, USA.ORCID 0000-0001-9052-7700

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to create a novel machine learning (ML) algorithm for predicting the post-pubertal mandibular length and

Indexed as

artificial intelligencegrowth and developmentmandibleneural networkregression algorithm

Identifiers

PMID37685267
PMCPMC10486405

What OpenQuestion holds

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Registered trials

None linked

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.