Evidence map›Paper›PMID 21993441›Full record

ArticleNeuro-oncology2012

Role of flow cytometry immunophenotyping in the diagnosis of leptomeningeal carcinomatosis.

Dolores Subirá, Cristina Serrano, Susana Castañón, Raquel Gonzalo, Julia Illán, Javier Pardo, María Martínez-García, Esther Millastre, Francisco Aparisi, Miguel Navarro and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
  2. Article
  3. The path to leptomeningeal metastasis.Nature reviews. Cancer · 2024
    Review
  4. Article
  5. Review
  6. Review
  7. Advances in Intraoperative Flow Cytometry.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  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

15 authors at 8 institutions in 1 country.

Dolores SubiráDepartment of Hematology, Hospital de Guadalajara, Guadalajara, Spain. dosuperez@yahoo.es
Cristina Serrano
Susana Castañón
Raquel Gonzalo
Julia Illán
Javier Pardo
María Martínez-García
Esther Millastre
Francisco Aparisi
Miguel Navarro
Manuel Dómine
Ignacio Gil-Bazo
Pedro Pérez Segura
Miguel Gil
Jordi Bruna
Hospital Universitario Fundación Jiménez Díaz · ESHospital Virgen de los Lirios · ESComplejo Hospitalario de Salamanca · ESHospital Universitario de Guadalajara · ESClinica Universidad de Navarra · ESHospital Clínico San Carlos · ESHospital Universitario Miguel Servet · ESHospital Universitario Quirónsalud Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the contribution of flow cytometry immunophenotyping (FCI) in detecting leptomeningeal disease in patients with solid tumors. EXPERIMENTAL

designCerebrospinal fluid (CSF) samples from 78 patients who received a diagnosis of epithelial-cell solid tumors and had clinical data suggestive of leptomeningeal carcinomatosis (LC) were studied. A novel FCI protocol was used to identify cells expressing the epithelial cell antigen EpCAM and their DNA content. Accompanying inflammatory cells were also described. FCI results (positive or negative for malignancy) were compared with those from CSF cytology and with the diagnosis established by the clinicians: patients with LC (n = 49), without LC (n = 26), and undetermined (n = 3).

resultsFCI described a wide range of EpCAM-positive cells with a hyperdiploid DNA content in the CSF of patients with LC. Compared with cytology, FCI showed higher sensitivity (75.5 vs 65.3) and negative predictive value (67.6 vs 60.5), and similar specificity (96.1 vs 100) and positive predictive value (97.4 vs 100). Concordance between cytology and FCI was high (Kp = 0.83), although misdiagnosis of LC did not show differences between evaluating the CSF with 1 or 2 techniques (P = .06). Receiver-operator characteristic curve analyses showed that lymphocytes and monocytes had a different distribution between patients with and without LC.

conclusionFCI seems to be a promising new tool for improving the diagnostic examination of patients with suspicion of LC. Detection of epithelial cells with a higher DNA content is highly specific of LC, but evaluation of the nonepithelial cell compartment of the CSF might also be useful for supporting this diagnosis.

Indexed as

AgedAntigens, NeoplasmCell Adhesion MoleculesDNA, NeoplasmEpithelial Cell Adhesion MoleculeFemaleFlow CytometryHumansImmunophenotypingMaleMeningeal CarcinomatosisMiddle AgedNeoplasms, Glandular and EpithelialPredictive Value of TestsRetrospective StudiesAntigens, NeoplasmCell Adhesion MoleculesDNA, NeoplasmEPCAM protein, humanEpithelial Cell Adhesion Molecule

Identifiers

PMID21993441
PMCPMC3245993
OpenAlexW2171188959

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.