Evidence map›Paper›PMID 34989818›Full record

ReviewDer Pathologe2022

[New aspects in fine needle biopsies of the lymph nodes].

Beata Bode-Lesniewska

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 2 countries.

Beata Bode-LesniewskaZytopathologie, Pathologie Institut Enge, Hardturmstr. 133, 8005, Zürich, Schweiz. beata.bode@patho.ch.
University of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cytology of lymph nodes is a cost-effective method with a short turnaround time and low risk to patients that delivers valuable information on the cause of the lymphadenopathies.

objectivesTo discuss the value of lymph node cytology in the diagnosis of lymph node swellings.

methodsAnalysis of the causes of the controversially discussed aspects of lymph node cytology. Presentation of the diagnostic groups of lymph node cytology according to the Sydney system.

resultsThe technical aspects of lymph node sampling during fine needle biopsy, as well as the subsequent preparation of the correctly fixed direct smears and the triage of the sample for the auxiliary studies, may pose a significant challenge for some puncturers. The whole spectrum of modern pathologic auxiliary studies can be applied to correctly triaged cytologic samples. The diagnoses of fine needle biopsies of the lymph nodes can be divided into five groups according to the recently proposed Sydney reporting system: insufficient/non-diagnostic, benign, atypical, suspicious, and malignant. Further details concerning the diagnosis as well as recommendations on how to proceed are additionally included in cytologic reports.

conclusionsThe improvement of lymph node sampling as well as the technical aspects of the sample handling, including the application of auxiliary studies, considerably increase the diagnostic value of fine needle biopsy of the lymph nodes. Wide implementation of the usage of the diagnostic groups for reporting fine needle biopsies of the lymph nodes can standardize reporting and improve communication with other clinical specialists.

Indexed as

LymphadenopathyLymph NodesBiopsy, Fine-NeedleCommunicationCytodiagnosisHumansCytodiagnosisDifferential diagnosisFlow cytometryLymphadenopathyTriage

Identifiers

PMID34989818
OpenAlexW4205168149

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.