Evidence map›Paper›PMID 24144714›Full record

ArticlePediatrics2013

Microbial contamination of human milk purchased via the Internet.

Sarah A Keim, Joseph S Hogan, Kelly A McNamara, Vishnu Gudimetla, Chelsea E Dillon, Jesse J Kwiek, Sheela R Geraghty

Abstract read
In one paragraph

Article in Pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Balancing access to donor human milk: Rationing vs expanding use.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026
    Review
  2. A Framework for Evaluation of New Processing Technologies in Human Milk Banking.Comprehensive reviews in food science and food safety · 2025
    Review
  3. Article
  4. Understanding modifiable barriers to human milk donation in the United Kingdom.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
    Article
  5. Article
  6. Peer-to-Peer Human Milk-Sharing Among Israeli Milk Donors: A Mixed-Methods Study in the Land of Milk and Honey.Journal of human lactation : official journal of International Lactation Consultant Association · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Psychosocial dimensions of human milk sharing.Maternal & child nutrition · 2018
    Article
  16. Article
  17. Article
  18. Article
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  20. 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

7 authors.

Sarah A Keim700 Children's Dr, Columbus, OH 43205. sarah.keim@nationwidechildrens.org.
Joseph S Hogan
Kelly A McNamara
Vishnu Gudimetla
Chelsea E Dillon
Jesse J Kwiek
Sheela R Geraghty

Funding

Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2012 to 2014
$9.9M
A Method to Stop HIV Replication:Inhibition of Human Purine Utilizing ProteinsR01AI090644 · NIAID · OHIO STATE UNIVERSITY · PI KWIEK, JESSE J · 2010 to 2013
$1.8M
NCATS NIH HHS UL1 TR000077NIAID NIH HHS R01 AI090644
6 · The paper itself

Abstract

objectiveTo quantify microbial contamination of human milk purchased via the Internet as an indicator of disease risk to recipient infants.

methodsCross-sectional sample of human milk purchased via a popular US milk-sharing Web site (2012). Individuals advertising milk were contacted to arrange purchase, and milk was shipped to a rented mailbox in Ohio. The Internet milk samples (n = 101) were compared with unpasteurized samples of milk donated to a milk bank (n = 20).

resultsMost (74%) Internet milk samples were colonized with Gram-negative bacteria or had >10(4) colony-forming units/mL total aerobic count. They exhibited higher mean total aerobic, total Gram-negative, coliform, and Staphylococcus sp counts than milk bank samples. Growth of most species was positively associated with days in transit (total aerobic count [log10 colony-forming units/mL] β = 0.71 [95% confidence interval: 0.38-1.05]), and negatively associated with number of months since the milk was expressed (β = -0.36 [95% confidence interval: -0.55 to -0.16]), per simple linear regression. No samples were HIV type 1 RNA-positive; 21% of Internet samples were cytomegalovirus DNA-positive.

conclusionsHuman milk purchased via the Internet exhibited high overall bacterial growth and frequent contamination with pathogenic bacteria, reflecting poor collection, storage, or shipping practices. Infants consuming this milk are at risk for negative outcomes, particularly if born preterm or are medically compromised. Increased use of lactation support services may begin to address the milk supply gap for women who want to feed their child human milk but cannot meet his or her needs.

Indexed as

Colony Count, MicrobialCross-Sectional StudiesFemaleHumansInfantInfant, NewbornInternetMilk BanksMilk, HumanSalmonellaStaphylococcusaerobic bacteriabreastfeedinghuman milkinfantInternet

Identifiers

PMID24144714
PMCPMC4530303

What OpenQuestion holds

Textmetadata
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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.