Evidence map›Paper›PMID 36579280›Full record

ArticleCureus2022

Efficacy of the Systemic Immune Inflammation Index in Malignant and Benign Parotid Neoplasms.

Abdulkadir Sahin, Ayhan Kars, Korhan Kilic, Hasan Bera Ucar, Muhammed Sedat Sakat

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Evaluation of Inflammatory Biomarkers in Parotid Tumors.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  4. Article
  5. 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

5 authors.

Abdulkadir SahinOtorhinolaryngology, Ataturk University, Faculty of Medicine, Erzurum, TUR.
Ayhan KarsOtorhinolaryngology, Erzincan Binali Yildirim University, Faculty of Medicine, Erzincan, TUR.
Korhan KilicOtorhinolaryngology, Ataturk University, Faculty of Medicine, Erzurum, TUR.
Hasan Bera UcarOtorhinolaryngology, Ataturk University, Faculty of Medicine, Erzurum, TUR.
Muhammed Sedat SakatOtorhinolaryngology, Ataturk University, Faculty of Medicine, Erzurum, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Several studies have looked at systemic immune-inflammation index (SII) (neutrophil x platelet x lymphocyte) values, which have been shown to be useful in determining tumor aggressivity and prognosis, as well as predicting recurrence risk, particularly in cancer cases. The purpose of the current study was to determine SII values in patients with parotid masses and investigate their utility in distinguishing between malignant and benign parotid tumors. Methods This retrospective study included 237 adult patients-112 women and 125 men-who were followed up on and treated for parotid mass between 2015 and 2021. The SII values determined were compared between the groups. Results The difference between the two groups was statistically significant (p = 0.001). In addition, SII values were higher in malignant tumors with perineural and lymphovascular invasion compared to other malignant tumors, although the difference was not statistically significant. Conclusions Although SII values yielded significant results in differentiating malignant from benign parotid tumors, since no significant cut-off value was determined, we do not think that they represent an effective marker capable of being used to distinguish between these tumors in clinical practice.

Indexed as

benign parotid tumorinflammatory parametersmalignant tumorparotid masssii indexsystemic immune-inflammation index

Identifiers

PMID36579280
PMCPMC9792297

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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.