Evidence map›Paper›PMID 36148168›Full record

ArticleLe infezioni in medicina2022

Actinomycosis mimicking malignancy: a report of three cases diagnosed with fine-needle aspiration cytology.

Pasquale Cretella, Maria Carola Italia, Bianca Serio, Pio Zeppa, Alessandro Caputo

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Le infezioni in medicina, 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
0.6field-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

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

5 authors at 1 institution in 1 country.

Pasquale CretellaDepartment of Medicine and Surgery, University of Salerno, Salerno, Italy.
Maria Carola ItaliaDepartment of Medicine and Surgery, University of Salerno, Salerno, Italy.
Bianca SerioDepartment of Medicine and Surgery, University of Salerno, Salerno, Italy.
Pio ZeppaDepartment of Medicine and Surgery, University of Salerno, Salerno, Italy.
Alessandro CaputoDepartment of Medicine and Surgery, University of Salerno, Salerno, Italy.
University of Salerno · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe three cases of actinomycosis of the head and neck area, clinically suspected to be malignancies, diagnosed by fine-needle aspiration (FNAC). The patients presented with painless, slowly growing masses in the cervicofacial area. Ultrasonography identified the masses as enlarged lymph nodes which were subsequently biopsied by FNAC. Cytological features were similar in all cases, with a background of granulocytes and scattered lymphocytes and histiocytes. At high magnification colonies of branching, filamentous and beaded bacteria were detected. In the Diff-Quik-stained smears, these filamentous colonies showed an evident yellowish color with the typical feature of the "sulfur granules" consistent with the Splendore-Hoeppli phenomenon. A diagnosis of actinomycosis was made and confirmed in all cases by the subsequent microbiological tests. The patients were treated with high-dose penicillin, which caused the masses to progressively shrink. The lymph nodal localization of cervico-facial actinomycosis may be a diagnostic challenge, because in that area, lymphadenopathies may occur both in benign and malignant conditions. FNAC is a safe, fast, and reliable method to perform an accurate diagnosis of actinomycosis avoiding the surgical excision for histological evaluation.

Indexed as

actinomycosisfine-needle aspirationlymphadenopathy

Identifiers

PMID36148168
PMCPMC9448306
OpenAlexW4293543326

What OpenQuestion holds

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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.