Evidence map›Paper›PMID 27068888›Full record

ArticleBrazilian journal of otorhinolaryngology

The role of the mean platelet volume and neutrophil-to-lymphocyte ratio in peritonsillar abscesses.

Mehmet Şentürk, İsa Azgın, Gültekin Övet, Necat Alataş, Betül Ağırgöl, Esra Yılmaz

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Brazilian journal of otorhinolaryngology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04120181 (A New Predictor Marker for Cochlear Implants Infection), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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.

NCT04120181 completednot on this map

A New Predictor Marker for Cochlear Implants Infection: Neutrophil/ Lymphocyte Ratio

TypeobservationalSponsorSelcuk UniversityRan2014 to 2018Enrolled13ConditionsInfection, Implant Infection, Cochlear Hearing LossArmsThere is no intervention.
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Mehmet ŞentürkKonya Education and Research Hospital, Department of Otolaryngology Head and Neck Surgery, Konya, Turkey. Electronic address: drmehmetsenturk@gmail.com.
İsa AzgınKonya Education and Research Hospital, Department of Otolaryngology Head and Neck Surgery, Konya, Turkey.
Gültekin ÖvetKonya Education and Research Hospital, Department of Otolaryngology Head and Neck Surgery, Konya, Turkey.
Necat AlataşKonya Education and Research Hospital, Department of Otolaryngology Head and Neck Surgery, Konya, Turkey.
Betül AğırgölKonya Education and Research Hospital, Department of Otolaryngology Head and Neck Surgery, Konya, Turkey.
Esra YılmazKonya Education and Research Hospital, Department of Otolaryngology Head and Neck Surgery, Konya, Turkey.
Konya Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPeritonsillar abscess is a serious infectious disease of the tonsillar tissue. Treatment generally requires both medical and surgical approaches to relieve the symptoms. Recently, in addition to clinical follow-up, some inflammatory markers, such as the mean platelet volume and neutrophil-to-lymphocyte ratio, have been considered to be additional inflammatory monitoring markers in inflammatory diseases.

objectiveThe aim of this study was to describe the role of mean platelet volume and neutrophil-to-lymphocyte ratio in patients with peritonsillar abscess.

methodsA retrospective study was conducted in 88 patients with peritonsillar abscess and 88 healthy individuals. We analyzed the white blood cell count, neutrophil count, lymphocyte count, platelet count, C-reactive protein, mean platelet volume and neutrophil-to-lymphocyte ratio values and compared them among the patient and control groups.

resultsThe mean platelet volume levels were significantly higher in the peritonsillar abscess pretreatment group than in the peritonsillar abscess posttreatment group and the control group. A mean platelet volume value of 8.7 was the optimal cut-off value for evaluating the sensitivity, specificity, positive predictive value and negative predictive value of 75%, 65.9%, 68% and 72%, respectively. The neutrophil-to-lymphocyte ratio levels were significantly higher in the peritonsillar abscess pretreatment group than in the peritonsillar abscess post-treatment group and the control group. A neutrophil-to-lymphocyte ratio value of 3.08 was the optimal cut-off value for evaluating the sensitivity, specificity, positive predictive value and negative predictive value of 90.9%, 90.9%, 90.9% and 90.9%, respectively. While the white blood cell count, neutrophil count, lymphocyte count and C-reactive protein values were significantly different among the patient and control groups (p<0.05), the platelet count was not significantly different among the patient and control groups (p>0.05).

conclusionThe mean platelet volume and neutrophil-to-lymphocyte ratio values made us think that these parameters were quick, inexpensive and reliable inflammatory follow-up parameters and could be easily integrated into daily practice for peritonsillar abscess treatment except platelet count.

Indexed as

Lymphocyte CountMean Platelet VolumeNeutrophilsAdultBiomarkersCase-Control StudiesFemaleHumansMalePeritonsillar AbscessPredictive Value of TestsRetrospective StudiesSensitivity and SpecificityBiomarkersAbscesso periamigdalianoMean platelet volumeNeutrophil-to-lymphcyte ratePeritonsillar abscessRelação neutrófilos/linfócitosTratamentoTreatmentVolume plaquetário médio

Identifiers

PMID27068888
PMCPMC9444737
OpenAlexW2332010117

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.