Evidence map›Paper›PMID 24860508›Full record

ReviewFrontiers in physiology2014

Evaluation and integration of disparate classification systems for clefts of the lip.

Kathie H Wang, Carrie L Heike, Melissa D Clarkson, Jose L V Mejino, James F Brinkley, Raymond W Tse, Craig B Birgfeld, David A Fitzsimons, Timothy C Cox

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Classification Systems of Cleft Lip, Alveolus and Palate: Results of an International Survey.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. The Roles of Hedgehog Signaling in Upper Lip Formation.BioMed research international · 2015
    Review
  19. Article
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

9 authors.

Kathie H WangCenter for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute Seattle, WA, USA.
Carrie L HeikeCenter for Clinical and Translational Sciences, Seattle Children's Research Institute Seattle, WA, USA ; Seattle Children's Craniofacial Center Seattle, WA, USA ; Department of Pediatrics (Division of Craniofacial Medicine), University of Washington Seattle, WA, USA.
Melissa D ClarksonDepartment of Biological Structure (Structural Informatics Group), University of Washington Seattle, WA, USA ; Department of Biomedical Informatics and Medical Education, University of Washington Seattle, WA, USA.
Jose L V MejinoDepartment of Biological Structure (Structural Informatics Group), University of Washington Seattle, WA, USA.
James F BrinkleyDepartment of Biological Structure (Structural Informatics Group), University of Washington Seattle, WA, USA ; Department of Biomedical Informatics and Medical Education, University of Washington Seattle, WA, USA.
Raymond W TseSeattle Children's Craniofacial Center Seattle, WA, USA.
Craig B BirgfeldSeattle Children's Craniofacial Center Seattle, WA, USA.
David A FitzsimonsFaculty of Medicine, The Cleft Palate Clinic, The Children's Hospital at Westmead, and Discipline of Paediatrics and Child Health, University of Sydney Sydney, NSW, Australia.
Timothy C CoxCenter for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute Seattle, WA, USA ; Seattle Children's Craniofacial Center Seattle, WA, USA ; Department of Pediatrics (Division of Craniofacial Medicine), University of Washington Seattle, WA, USA ; Department of Anatomy and Developmental Biology, Monash University Clayton, VIC, Australia.

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
Technology Project: Shape-Based Retrieval of 3D Craniofacial DataU01DE020050 · NIDCR · UNIVERSITY OF WASHINGTON · PI SHAPIRO, LINDA · 2009 to 2013
$3.8M
NIDCR NIH HHS U01 DE020050NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

Orofacial clefting is a common birth defect with wide phenotypic variability. Many systems have been developed to classify cleft patterns to facilitate diagnosis, management, surgical treatment, and research. In this review, we examine the rationale for different existing classification schemes and determine their inter-relationships, as well as strengths and deficiencies for subclassification of clefts of the lip. The various systems differ in how they describe and define attributes of cleft lip (CL) phenotypes. Application and analysis of the CL classifications reveal discrepancies that may result in errors when comparing studies that use different systems. These inconsistencies in terminology, variable levels of subclassification, and ambiguity in some descriptions may confound analyses and impede further research aimed at understanding the genetics and etiology of clefts, development of effective treatment options for patients, as well as cross-institutional comparisons of outcome measures. Identification and reconciliation of discrepancies among existing systems is the first step toward creating a common standard to allow for a more explicit interpretation that will ultimately lead to a better understanding of the causes and manifestations of phenotypic variations in clefting.

Indexed as

classification systemcleft lipforme frusteincomplete cleftontologyorofacial clefts

Identifiers

PMID24860508
PMCPMC4030199

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.