Evidence map›Paper›PMID 35741115›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Digital Droplet PCR in Hematologic Malignancies: A New Useful Molecular Tool.

Sara Galimberti, Serena Balducci, Francesca Guerrini, Marzia Del Re, Rossella Cacciola

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 2% 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.

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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Article
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  7. Advancements in diagnosis and treatments of acute leukemia.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026
    Article
  8. Review
  9. Article
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  11. Observational
  12. Article
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  16. Journal of clinical medicine · 2025
    Article
  17. Annals of laboratory medicine · 2025
    Article
  18. Review
  19. Article
  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

5 authors at 2 institutions in 1 country.

Sara GalimbertiDepartment of Clinical and Experimental Medicine, Section of Hematology, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-7899-5966
Serena BalducciDepartment of Clinical and Experimental Medicine, Section of Hematology, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-1591-4396
Francesca GuerriniDepartment of Clinical and Experimental Medicine, Section of Hematology, University of Pisa, 56126 Pisa, Italy.
Marzia Del ReDepartment of Clinical and Experimental Medicine, Section of Hematology, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-7343-6161
Rossella CacciolaDepartment of Clinical and Experimental Medicine, Section of Hemostasis, University of Catania, 95123 Catania, Italy.ORCID 0000-0003-1440-2695
University of Pisa · ITUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital droplet PCR (ddPCR) is a recent version of quantitative PCR (QT-PCR), useful for measuring gene expression, doing clonality assays and detecting hot spot mutations. In respect of QT-PCR, ddPCR is more sensitive, does not need any reference curve and can quantify one quarter of samples already defined as "positive but not quantifiable". In the

Indexed as

clonalitydigital PCRhematologyMRDmultiplexing PCRNGSpoint mutationsquantitative PCR

Identifiers

PMID35741115
PMCPMC9221914
OpenAlexW4281476477

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.