Evidence map›Paper›PMID 34943476›Full record

ReviewDiagnostics (Basel, Switzerland)2021

Isolation and Enrichment of Circulating Fetal Cells for NIPD: An Overview.

Giulia Sabbatinelli, Donatella Fantasia, Chiara Palka, Elisena Morizio, Melissa Alfonsi, Giuseppe Calabrese

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. 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

6 authors.

Giulia SabbatinelliDipartimento di Neuroscienze, Imaging & Scienze Cliniche, Scuola Superiore G. D'Annunzio, University of Chieti, 66100 Chieti, Italy.
Donatella FantasiaUOSD Genetica Oncoematologica, Dipartimento di Oncologico-Ematologico, Ospedale Spirito Santo, ASL Pescara, 65124 Pescara, Italy.
Chiara PalkaUOC Genetica Medica, Ospedale S.S. Annunziata, ASL2 Chieti, 66100 Chieti, Italy.
Elisena MorizioGenetica Medica, Dipartimento di Tecnologie Avanzate in Medicina e Odontoiatria, School of Medicine, University of Chieti, 66100 Chieti, Italy.
Melissa AlfonsiUOC Genetica Medica, Ospedale S.S. Annunziata, ASL2 Chieti, 66100 Chieti, Italy.
Giuseppe CalabreseUOSD Genetica Oncoematologica, Dipartimento di Oncologico-Ematologico, Ospedale Spirito Santo, ASL Pescara, 65124 Pescara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prenatal diagnosis plays a crucial role in clinical genetics. Non-invasive prenatal diagnosis using fetal cells circulating in maternal peripheral blood has become the goal of prenatal diagnosis, to obtain complete fetal genetic information and avoid risks to mother and fetus. The development of high-efficiency separation technologies is necessary to obtain the scarce fetal cells from the maternal circulation. Over the years, multiple approaches have been applied, including choice of the ideal cell targets, different cell recovering technologies, and refined cell isolation yield procedures. In order to provide a useful tool and to give insights about limitations and advantages of the technologies available today, we review the genetic research on the creation and validation of non-invasive prenatal diagnostic testing protocols based on the rare and labile circulating fetal cells during pregnancy.

Indexed as

circulating fetal cellsNIPDprenatal diagnosis

Identifiers

PMID34943476
PMCPMC8700692

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.