Evidence map›Paper›PMID 31091529›Full record

ReviewPediatric research2019

Prenatal maternal biomarkers for the early diagnosis of congenital malformations: A review.

Richard Wagner, Wai Hei Tse, Jan-Hendrik Gosemann, Martin Lacher, Richard Keijzer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Richard Wagner *Departments of Surgery, Division of Pediatric Surgery, Pediatrics & Child Health and Physiology & Pathophysiology (Adjunct), University of Manitoba and Children's Hospital Research Institute of Manitoba, Biology of Breathing Theme, Winnipeg, Manitoba, Canada.
Wai Hei Tse *Departments of Surgery, Division of Pediatric Surgery, Pediatrics & Child Health and Physiology & Pathophysiology (Adjunct), University of Manitoba and Children's Hospital Research Institute of Manitoba, Biology of Breathing Theme, Winnipeg, Manitoba, Canada.
Jan-Hendrik GosemannDepartment of Pediatric Surgery, University Hospital Leipzig, Leipzig, Germany.
Martin LacherDepartment of Pediatric Surgery, University Hospital Leipzig, Leipzig, Germany.
Richard KeijzerDepartments of Surgery, Division of Pediatric Surgery, Pediatrics & Child Health and Physiology & Pathophysiology (Adjunct), University of Manitoba and Children's Hospital Research Institute of Manitoba, Biology of Breathing Theme, Winnipeg, Manitoba, Canada. richardkeijzer@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital anomalies cause ~7% of all neonatal deaths, many of which have no identified pathophysiological cause. Because accurate and robust laboratory tests are unavailable for most birth defects, physicians rely on imaging such as ultrasound and MRI. Biomarkers from human body fluids are considered a powerful diagnostic tool to assess human disease and health as it mirrors an individual's condition. Minimally invasive 'liquid biopsies' from blood samples are highly valuable for diagnosis, prognosis, risk assessment, and treatment of many conditions. Recent large-scale analysis ('omics') have enabled researchers to identify novel biomarkers in different areas. To accurately facilitate the early detection of congenital anomalies, the identification of biomarkers from maternal plasma should be promoted. This approach will uncover new opportunities in prenatal diagnosing and likely lead to a better understanding of the pathogenesis of congenital anomalies.

Indexed as

BiomarkersBody FluidsCongenital AbnormalitiesFemaleHumansPregnancyPrenatal DiagnosisBiomarkers

Identifiers

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.