Evidence map›Paper›PMID 30275991›Full record

ArticleEmergency medicine international2018

Retrospective Multivariate Analysis of Data from Children with Suspected Appendicitis: A New Tool for Diagnosis.

Zafer Dokumcu, Bade Toker Kurtmen, Emre Divarci, Petek Bayindir Tamay, Timur Kose, Murat Sezak, Geylani Ozok, Orkan Ergun, Ahmet Celik

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Article in Emergency medicine international, 2018. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zafer DokumcuEge University Faculty of Medicine Department of Pediatric Surgery, Izmir, Turkey.ORCID 0000-0002-4996-7824
Bade Toker KurtmenEge University Faculty of Medicine Department of Pediatric Surgery, Izmir, Turkey.
Emre DivarciEge University Faculty of Medicine Department of Pediatric Surgery, Izmir, Turkey.
Petek Bayindir TamayEge University Faculty of Medicine Department of Radiology, Division of Pediatric Radiology, Izmir, Turkey.
Timur KoseEge University Faculty of Medicine Department of Biostatistics and Medical Informatics, Izmir, Turkey.
Murat SezakEge University Faculty of Medicine Department of Pathology, Izmir, Turkey.
Geylani OzokEge University Faculty of Medicine Department of Pediatric Surgery, Izmir, Turkey.
Orkan ErgunEge University Faculty of Medicine Department of Pediatric Surgery, Izmir, Turkey.
Ahmet CelikEge University Faculty of Medicine Department of Pediatric Surgery, Izmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecision-making for management may sometimes be difficult in acute appendicitis (AA). Various diagnostic scoring systems exist, but their sensitivity and specificity rates are far from ideal. In this study, the determination of the predictors and the effect of radiological data and developing a new scoring system were aimed.

methodsMedical records of patients who were hospitalized for AA between February 2012 and October 2016 were retrospectively reviewed. All data were compared between patients with and without appendicitis. The multivariate analysis was performed to define significant variables and to examine the sensitivity and specificity of each group of predictors including radiological data. A new scoring system (NSS) was formed and was compared with two existing scoring systems: pediatric appendicitis score (PAS) and Alvarado scoring system (ASS) by using reclassification method.

resultsNegative appendectomy rate was 11.3%. Statistical analysis identified 21 independently significant variables. The heel drop test had the highest odds ratio. Sensitivity and specificity rates of clinical predictors were 84.6% and 94.8%, respectively. Radiological predictors increased the sensitivity rate to 86.9%. Sensitivity and specificity rates for PAS, ASS, and NSS were 86.8% and 83.9%, 84.7% and 81.6%, and 96.8% and 95.6%, respectively. The "re-assessed negative appendectomy rate" was 6.2% and false positive results were remarkably more common in patients with duration of symptoms less than 24 hours.

conclusionRadiological data improves the accuracy of diagnosis. Containing detailed clinical and radiological data, NSS performs superiorly to PAS and ASS, regarding sensitivity and specificity without any age limitation. The efficiency of NSS may be enhanced by determining different predictors for different phases of the inflammatory process.

Identifiers

PMID30275991
PMCPMC6157147

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