Evidence map›Paper›PMID 33849657›Full record

ArticleEuropean journal of medical research2021

ROSE in Rosai-Dorfman-Destombes (RDD) disease: a cytological diagnosis.

Santosh Tummidi, Hemant Kumar Singh, Prudhvinath A Reddy, Manda Sindhura, Navya Kosaraju, Arundhathi Shankaralingappa, Naresh P Kumar

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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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

7 authors at 1 institution in 2 countries.

Santosh TummidiDepartment of Pathology, AIIMS, Mangalagiri, Guntur, A.P., India, 522503. born_vss@yahoo.co.in.ORCID http://orcid.org/0000-0001-9048-259X
Hemant Kumar SinghDepartment of General Surgery, AIIMS, Mangalagiri, Guntur, A.P., India, 522503.
Prudhvinath A ReddyDepartment of Radiodiagnosis, AIIMS, Mangalagiri, Guntur, A.P., India, 522503.
Manda SindhuraDepartment of Pathology, AIIMS, Mangalagiri, Guntur, A.P., India, 522503.
Navya KosarajuDepartment of Radiodiagnosis, AIIMS, Mangalagiri, Guntur, A.P., India, 522503.
Arundhathi ShankaralingappaDepartment of Pathology, AIIMS, Mangalagiri, Guntur, A.P., India, 522503.
Naresh P KumarDepartment of General Surgery, AIIMS, Mangalagiri, Guntur, A.P., India, 522503.
All India Institute of Medical Sciences Raipur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRosai-Dorfman-Destombes (RDD) is also known as sinus histiocytosis with massive lymphadenopathy (SHML). It is a benign proliferative disorder of histiocytes, affecting lymph nodes, rarely with extra-nodal involvement. Rapid on-site evaluation (ROSE) with fine-needle aspiration cytology (FNAC) can be utilized as a minimally invasive investigation to avoid unnecessary surgery of this self-limiting disease. CASE PRESENTATION: A 65-year-old female presented with complaints of bilateral cervical lymphadenopathy since 1 year. Rapid on-site stain with FNAC from bilateral cervical lymph nodes revealed features of Rosai-Dorfman-Destombes (RDD) disease.

conclusionFNAC with rapid on-site evaluation can provide a simple and cost-effective method for looking at the unique cytological features of the disease and act as a first-line investigation.

Indexed as

AgedBiopsy, Fine-NeedleCytodiagnosisFemaleHistiocytosis, SinusHumansLymph NodesCellblockCytologyEmperipolesisPlasma cellRapid on-site evaluationRosai–Dorfman–Destombes

Identifiers

PMID33849657
PMCPMC8045294
OpenAlexW3155359237

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Registered trials

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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.