Evidence map›Paper›PMID 42589160›Full record

ArticleBiology2026

A Parsimonious, Accurate, Predictive Model for Avian Egg Geometry.

Stefan T Orszulik

Abstract read
In one paragraph

Article in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Stefan T OrszulikIndependent Researcher, Grove, Wantage OX12 0QA, UK.ORCID 0000-0003-3176-4911

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the years, many attempts have been made to mathematically describe an ovoid, both from a purely mathematical standpoint as well as to inform the underlying biological process of egg formation. Most existing formulations are complex and non-predictive, requiring each individual shape to be fitted separately. The aim of this study was to develop a parsimonious, elegant, and predictive model for the full range of avian egg geometry-one based on simple geometric components and a minimal number of parameters. This approach constructs an ovoid from two ellipses and a straight line, governed by only three adjustable parameters. The resulting model is predictive: it can accurately reconstruct the full contour of an avian egg using only the coordinate of maximum breadth and the breadth at one-quarter of the egg's length from the pointed end. The mean error of this method is 0.047 (RMSE), which is competitive with other comparable methods. This accuracy arises because the geometric invariance of the model closely matches the allometric invariance observed in real avian eggs. Moreover, the ovoids generated by this method mostly conform closely to the Main Axiom, derived from Fermat's extremum theory, making the model particularly suitable for engineers, designers, and ornithologists who require a straightforward means of constructing realistic ovoid shapes.

Indexed as

avian eggsegg geometryegg shapesovalpredictive modelpyriform eggs

Identifiers

PMID42589160
PMCPMC13465663

What OpenQuestion holds

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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.