Evidence map›Paper›PMID 32422857›Full record

ArticleNutrients2020

The Comparison of Nutritional Value of Human Milk with Other Mammals' Milk.

Renata Pietrzak-Fiećko, Anna M Kamelska-Sadowska

Registry-linked trialOpen access · goldAbstract readComparative Study
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07225153 (Goat Milk-Derived Formula Alternatives vs. Undiluted Goat Milk in Babies Unable to Exclusively Breastfeed), which is not on this map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
10.3field-weighted citation impact, top 1% 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.

NCT07225153 narecruitingnot on this mapstarted 2025, after this paper: background citation

Goat Milk-Derived Formula Alternatives vs. Undiluted Goat Milk in Babies Unable to Exclusively Breastfeed: Analysis of Growth Metrics and Biological Markers

TypeinterventionalSponsorAga Khan UniversityRan2025 to 2026Enrolled15ConditionsMalnutrition (Calorie), Infant Nutrition Disorder, Growth Flatering, Gut MicrobiomeArmsGMDFA, Undiluted Goat Milk
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 160 citations in OpenAlex.

  1. Review
  2. Review
  3. Automated, targeted, NMR spectral profiling of human breast milk.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
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  8. Review
  9. Observational
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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

2 authors at 2 institutions in 1 country.

Renata Pietrzak-FiećkoDepartment of Commodities and Food Analysis, Faculty of Food Sciences, University of Warmia and Mazury in Olsztyn, 1 Cieszyński Square, 10-726 Olsztyn, Poland.ORCID 0000-0002-0754-0806
Anna M Kamelska-SadowskaDepartment of Rehabilitation and Orthopedics, Collegium Medicum, University of Warmia and Mazury in Olsztyn, 2 Oczapowskiego Street, 10-719 Olsztyn, Poland.ORCID 0000-0001-8849-5068
University of Computer Sciences and Economics in Olsztyn · PLUniversity of Warmia and Mazury in Olsztyn · PL

Funding

Ministerstwo Nauki i Szkolnictwa Wyższego 010/RID/2018/19
6 · The paper itself

Abstract

(1) Background: The variation in the concentration of different components found in milk depends on mammalian species, genetic, physiological, nutritional factors, and environmental conditions. Here, we analyse, for the first time, the content of different components (cholesterol concentration and fatty acids composition as well as the overall fat and mineral content determined using the same analytical methods) in milk of different mammal species. (2) Methods: The samples (

Indexed as

Nutritive ValueAnimalsCattleCholesterolDietary FatsFatty AcidsFemaleGoatsHorsesHumansMilkMilk, HumanMineralsSheepCholesterolDietary FatsFatty AcidsMineralscholesterolcowfatfatty acidsgoathumanmaremilknutrientssheep

Identifiers

PMID32422857
PMCPMC7284997
OpenAlexW3024358326

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.