Evidence map›Paper›PMID 40392651›Full record

ArticleJournal of animal science2025

Technical note: optimizing sample size for broiler chicken and pig intestinal histomorphometry and prediction equations.

Emmanuel O Alagbe, Jung Yeol Sung, Kylee Lindsey, Jonathan A Pasternak, Olayiwola Adeola

Abstract read
In one paragraph

Article in Journal of animal science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Emmanuel O AlagbeDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.ORCID 0000-0002-0747-2866
Jung Yeol SungDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.
Kylee LindseyDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.
Jonathan A PasternakDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.ORCID 0000-0001-8596-3057
Olayiwola AdeolaDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.ORCID 0000-0003-2737-7679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intestinal villi are subject to natural variation within the same sample, and there is no established standard for the number of unique measurements needed for reliable histomorphometry in broiler chickens and pigs. Furthermore, intestinal morphology assessment in monogastric animals typically focuses on villus height, crypt depth, and the villus height to crypt depth ratio. However, limited attention has been given to additional morphology indices, such as villus perimeter and area, largely due to the time and resources required for consistent estimates. Therefore, the objectives of this experiment were: 1) to estimate the minimum number of villi required to minimize the intra-sample coefficient of variation for each intestinal morphology index, and 2) to determine whether more complex metrics, such as villus perimeter and area, can be accurately predicted from linear measurements. A set of 1,283 intestinal morphology data points from 68 intestinal tissues of 4 animal experiments were used for the analysis in broiler chickens. For pigs, a set of 1,368 intestinal morphology data points was used from a single experiment involving 98 nursery-age animals. The NLIN, CORR, and REG procedures of SAS were used for broken-line analysis, correlation coefficients, and prediction equations, respectively. The analysis indicates that measurements from 11 villi per sample in broiler chickens and 10 villi per sample in pigs are necessary to minimize intra-sample variation. In jejunum and ileum, respectively, the villus height was highly correlated (P < 0.05) with villus perimeter (r = 0.95 and 0.87) and villus area (r = 0.77 and 0.63). Additionally, the coefficient of determination (R2) for predicting villus area in the jejunum and ileum using villus height, villus base width, and villus mid-width values were significant for broiler chickens (P < 0.01). The best-fit equation generated for predicting villus area in the jejunum was villus area = -0.136 + 0.195 × villus height + 0.123 × villus base width + 0.532 × villus mid-width (R2 = 0.92; RMSE = 0.01), while in the ileum, it was villus area = -0.069 + 0.136 × villus height + 0.122 × villus base width + 0.337 × villus mid-width (R2 = 0.86; RMSE = 0.02). In conclusion, this study provides the minimum number of intestinal villi required for consistent morphological assessment, relationships among intestinal histomorphometric indices, and equations for predicting villus perimeter and area from villi linear measurements.

Indexed as

ChickensIntestinesAnimalsSample SizeSwineintestinal morphologypredictionvillus areavillus heightvillus perimeter

Identifiers

PMID40392651
PMCPMC12202138

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.