Evidence map›Paper›PMID 26935132›Full record

ReviewJournal of biochemistry2016

Statistical analyses in trials for the comprehensive understanding of organogenesis and histogenesis in humans and mice.

Hiroki Otani, Jun Udagawa, Kanta Naito

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of biochemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Hiroki OtaniDepartment of Developmental Biology, Faculty of Medicine, Shimane University, Izumo, Shimane 693-8501, Japan; Department of Developmental Biology, Faculty of Medicine, Shimane University, Izumo, Shimane 693-8501, Japan; hotani@med.shimane-u.ac.jp.
Jun UdagawaDivision of Anatomy and Cell Biology, Department of Anatomy, Shiga University of Medical Science, Otsu 520-2192, Japan; and.
Kanta NaitoDepartment of Mathematics, Shimane University, Matsue 690-8504, Japan.
Shimane University · JPShiga University of Medical Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statistical analyses based on the quantitative data from real multicellular organisms are useful as inductive-type studies to analyse complex morphogenetic events in addition to deductive-type analyses using mathematical models. Here, we introduce several of our trials for the statistical analysis of organogenesis and histogenesis of human and mouse embryos and foetuses. Multidimensional scaling has been applied to prove the existence and examine the mode of interkinetic nuclear migration, a regulatory mechanism of stem cell proliferation/differentiation in epithelial tubular tissues. Several statistical methods were used on morphometric data from human foetuses to establish the multidimensional standard growth curve and to describe the relation among the developing organs and body parts. Although the results are still limited, we show that these analyses are not only useful to understand the normal and abnormal morphogenesis in humans and mice but also to provide clues that could correlate aspects of prenatal developmental events with postnatal diseases.

Indexed as

AnimalsEmbryo, MammalianHumansMiceOrganogenesishistogenesisinterkinetic nuclear migrationmultidimensional scalingorganogenesisstatistics

Identifiers

PMID26935132
PMCPMC4892397
OpenAlexW2292406141

What OpenQuestion holds

Textmetadata
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.