Evidence map›Paper›PMID 36188485›Full record

ArticleTherapeutic advances in medical oncology2022

The diagnostic accuracy of

Antonio Galvano, Luisa Castellana, Valerio Gristina, Maria La Mantia, Lavinia Insalaco, Nadia Barraco, Alessandro Perez, Sofia Cutaia, Valentina Calò, Tancredi Didier Bazan Russo and 7 more

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Network approach in liquidomics landscape.Journal of experimental & clinical cancer research : CR · 2023
    Review
  13. Article
  14. Article
  15. Alpelisib Efficacy without Cherry-PI3King Mutations.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  16. Evaluation ofFrontiers in molecular biosciences · 2023
    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

17 authors.

Antonio GalvanoDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Luisa CastellanaDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Valerio GristinaDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Maria La MantiaDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Lavinia InsalacoDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Nadia BarracoDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Alessandro PerezDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Sofia CutaiaDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Valentina CalòDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Tancredi Didier Bazan RussoDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Edoardo FranciniDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Lorena IncorvaiaDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.ORCID https://orcid.org/0000-0002-1199-7286
Mario Giuseppe MirisolaDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Salvatore VieniDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy.
Christian RolfoCenter for Thoracic Oncology, Tisch Cancer Institute, Mount Sinai Medical System & Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Viviana BazanDepartment of Experimental Biomedicine and Clinical Neurosciences, School of Medicine, University of Palermo, Palermo, Italy.
Antonio RussoDepartment of Surgical, Oncological and Oral Sciences, University of Palermo, Via del Vespro 129, Palermo 90127, Italy.ORCID https://orcid.org/0000-0002-4370-2008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The circulating tumor DNA (ctDNA) diagnostic accuracy for detecting phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit alpha ( Methods: Two reviewers selected studies from different databases until December 2020. We considered BC patients with matched tumor tissue and plasma ctDNA. We performed meta-regression and subgroup analyses to explore sources of heterogeneity concerning tumor burden, diagnostic technique, sample size, sampling time, biological subtype, and hotspot mutation. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the related area under the curve (AUC) were elaborated for the overall population and each subgroup. Results: The pooled analysis was carried out on 25 cohorts for a total of 1966 patients. The overall ctDNA sensitivity and specificity were 0.73 (95% CI: 0.70-0.77) and 0.87 (95% CI: 0.85-0.89). The AUC was 0.93. Pooled concordance, negative predictive value and positive predictive value values were 0.87 (95% CI: 0.82-0.92), 0.86 (95% CI: 0.81-0.90), and 0.89 (95% CI: 0.81-0.95) with pooled PLR, NLR, and DOR of 7.94 (95% CI: 4.90-12.86), 0.33 (95% CI: 0.25-0.45), and 33.41 (95% CI: 17.23-64.79), respectively. The pooled results consistently favored next-generation sequencing (NGS)- over polymerase chain reaction-based methodologies. The best ctDNA performance in terms of sensitivity, specificity, and AUC (0.85, 0.99, and 0.94, respectively) was observed in the low-time sampling subgroup (⩽18 days between tissue and plasma collection). Meta-regression and subgroup analyses highlighted sampling time as a possible major cause of heterogeneity. Conclusions: These findings reliably estimate the high ctDNA accuracy for the detection of

Indexed as

breast cancerctDNAdiagnostic accuracymeta-analysisPIK3CA

Identifiers

PMID36188485
PMCPMC9516428

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.