Evidence map›Paper›PMID 39967745›Full record

ArticleFrontiers in pediatrics2025

Timing of congenital cytomegalovirus diagnosis and missed opportunities.

Mallory R Baker, Xing Wang, Ann J Melvin

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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.

Mallory R Baker *Department of Audiology, Seattle Children's Hospital, Seattle, WA, United States.
Xing WangBiostatistics Epidemiology and Analytics in Research (BEAR), Seattle Children's Research Institute, Seattle, WA, United States.
Ann J Melvin *Department of Pediatrics, Division of Pediatric Infectious Disease, University of Washington and Seattle Children's Research Institute, Seattle, WA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Although congenital cytomegalovirus (cCMV) is the most common congenital infection world-wide, many infected infants are not diagnosed at birth. Anticipating that infants with cCMV who are not tested at birth risk a delayed diagnosis, this study was conducted to investigate the timing of diagnosis for infants with cCMV and to determine the reasons for and impact of late diagnoses. Methods: Clinical, imaging and laboratory data, hearing and developmental outcomes were abstracted from medical records between 2009 and 2021 for infants with virologically confirmed cCMV. Results: One hundred and twelve children with confirmed cCMV were identified. Diagnosis was within the first three weeks of life for 60 (54%) (early diagnosis group/EDG) and after this time for 52 (46%) (late diagnosis group/LDG). Infants in the LDG were diagnosed via CMV PCR on neonatal dried blood spot specimens with the majority (71%) tested after identification of sensorineural hearing loss (SNHL). The median time to first CMV testing in the LDG was 12 (IQR 3-42) months. Symptoms consistent with cCMV were present at birth in 17 (33%) of the infants with delayed diagnosis. More infants in the EDG received antiviral treatment ( Conclusion: The lack of formal protocols for cCMV testing leads to delayed diagnoses for many infants. This delay results in missed opportunities for monitoring, intervention, and treatment.

Indexed as

congenital cytomegalovirus (cCMV) infectioncongenital infectiondiagnostic delayearly interventionhearing lossnewborn screening (NBS)

Identifiers

PMID39967745
PMCPMC11832646

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Registered trials

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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.