Evidence map›Paper›PMID 33165721›Full record

SynthesisAnnals of surgical oncology2021

Diagnostic Accuracy of Nipple Aspirate Fluid Cytology in Asymptomatic Patients: A Meta-analysis and Systematic Review of the Literature.

Natasha Jiwa, Rishikesh Gandhewar, Hemali Chauhan, Hutan Ashrafian, Swathica Kumar, Corrina Wright, Zoltan Takats, Daniel Richard Leff

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
  7. 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

8 authors.

Natasha JiwaDepartment of Surgery and Cancer, Imperial College London, London, UK. natasha.jiwa04@imperial.ac.uk.
Rishikesh GandhewarDepartment of Surgery and Cancer, Imperial College London, London, UK.
Hemali ChauhanDepartment of Surgery and Cancer, Imperial College London, London, UK.
Hutan AshrafianDepartment of Surgery and Cancer, Imperial College London, London, UK.
Swathica KumarRoyal College of Surgeons Ireland, Dublin, Ireland.
Corrina WrightImperial College Healthcare Trust, London, UK.
Zoltan TakatsDepartment of Surgery and Cancer, Imperial College London, London, UK.
Daniel Richard LeffDepartment of Surgery and Cancer, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo calculate the diagnostic accuracy of nipple aspirate fluid (NAF) cytology.

backgroundEvaluation of NAF cytology in asymptomatic patients conceptually offers a non-invasive method for either screening for breast cancer or else predicting or stratifying future cancer risk.

methodsStudies were identified by performing electronic searches up to August 2019. A meta-analysis was conducted to attain an overall pooled sensitivity and specificity of NAF for breast cancer detection.

resultsA search through 938 studies yielded a total of 19 studies. Overall, 9308 patients were examined, with cytology results from 10,147 breasts [age (years), mean ± SD = 49.73 ± 4.09 years]. Diagnostic accuracy meta-analysis of NAF revealed a pooled specificity of 0.97 (95% CI 0.97-0.98), and sensitivity of 0.64 (95% CI 0.62-0.66).

conclusionsThe diagnostic accuracy of nipple smear cytology is limited by poor sensitivity. If nipple fluid assessment is to be used for diagnosis, then emerging technologies for fluid biomarker analysis must supersede the current diagnostic accuracy of NAF cytology.

Indexed as

Breast NeoplasmsNipple Aspirate FluidCytodiagnosisFemaleHumansNipplesSensitivity and Specificity

Identifiers

PMID33165721
PMCPMC8184724

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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.