Introduction
Using the keyword “ear,” one hundred sixteen thousand articles can be viewed on PubMed. The first article the keyword “ear” keyword in the literature is “Observations on some points relating to the Physiology and Pathology of the Ear” [
1]. This article was published in 1818 in the journal: “Medico-Chirurgical Transactions.” Following publication, only a few articles relevant to Otolaryngology were published until 1944. Suddenly, following the conclusion of World War II, in 1945, the numbers of published articles were increased explosively. Since then, the total number of published studies has continued to increase continually and the areas of focus have shifted dramatically. Whether researchers are university-, community-, or institution-based, understanding the areas of growing interest and the questions being raised through published articles will help guide their future studies.
To address the need for researchers to recognize current trends, we quantified the evolving pattern of published articles by decade. To accomplish this, we used a bibliometric approach which has been employed by a few other investigators in the otolaryngologic field, but modified the research methodology [
2-
7]. Specifically, we employed specific word searches as a means to quantify the frequency with which an idea was examined, and to provide insight into the exact pattern of change over time. This methodology will help researchers, particularly those early in their careers, wanting to identify the various research opportunities that exist.
Subjects and Methods
Data sampling
We analyzed data from the PubMed.gov (National Center for Biotechnology Information, U.S. National Library of Medicine, 8600 Rockville Pike, Bethesda MD, 20894 USA) website. We used the available search engine and entered a variety of the most common diseases and problems most relevant to otolaryngology including: vestibular schwannoma, vestibular neuritis, labyrinthitis, ototoxic hearing loss, temporal bone fracture, sudden hearing loss, otosclerosis, chronic otitis media, hereditary hearing loss, tinnitus, noise induced hearing loss, age related hearing loss, cholesteatoma, acute otitis media, benign paroxysmal positional vertigo (BPPV), Meniere’s disease, otitis media, mastoiditis, and Eustachian tube dysfunction. Such diseases entities were based on otorhinolaryngology textbook (ISBN: 893370-5589, Otorhinolaryngology Head and Neck Surgery, ilzogak, 2009, Korea).
The totality of published articles per year was downloaded from ‘Results by year.’ The frequency of mention for each disease was entered into an Excel spreadsheet, and the patterns were analyzed and stastically correlated. Other, less common diseases in otology were searches as well, but the numbers of “results by year” were relatively small, so they were excluded from the present study.
In addition to using the various diseases as search words, various diagnostic tools in otology and otologic treatment modalities were also examined and quantified.
Pattern analysis of published articles over time
From 1818 to July 2016, the number of articles published in each category was quantified. Given the huge number in each subheading, it would have been impossible to compare them for duplication. For this reason, percentages were used to compare the relative frequency over time. We assumed that the amount of overlap was comparable both within and across diseases, diagnostic tools, and treatments.
The data from each of the categories was then combined into a single percentage linear graph and represented geometrically based on area. The increasing or decreasing pattern for each search word was then compared and evaluated.
Statistical analysis
All of the data, were tested by spearman correlation coefficient test to get rho value (
Table 1). Statistical analyses were carried out using SPSS version 21 (IBM Corp., Armonk, NY, USA) for Windows.
p<0.05 was considered to be statistically significant for the analysis.
Discussion
In the present study, we examine the changing pattern of published topics, according to disease names, diagnostic tools, and treatment modality. Over the past several decades, there has been a rapid increase in the total number of articles published in the field of otology. In addition, in most of the articles, the authors recommend additional studies to be completed by other investigators or clinicians in the published journals and text books.
Three periods can be identified in the otology literature. The first had to do with evaluation and treatment of infection. Following World War II, the bio-science changed dramatically [
8]. The use of penicillin altered the treatment of infectious diseases [
9]. In the field of otology, a major pediatric disease, mastoiditis, could now be treated effectively through the prescription of the newly developed antibiotics with good results. As a result, the proportion of articles on topics like mastoiditis, chronic otitis media, and cholesteatoma, represented nearly all of the articles published in this period, form 1945 to 1960s. Similarly, the proportion of articles on these topics searchable through the related diagnostic tool and treatment modality searches was similarly high in the published journals.
The second time period from the 1960s to the 1990s focused on advances in hearing aids and middle ear surgery. All topics were published almost equally in frequency in this period. The problems associated with most infectious diseases had been resolved using established diagnostic and therapeutic tools. At the end of this period, new innovative tools like cochlear implantation were developed and the results proven [
10]. As a result, the main research areas in this third period were focused on cochlear implantation and related topics, including speech discrimination and hearing advances in hearing aids. The spread effect in research is well demonstrated on the continued increase in publications on cochlear implantation, and as a result, the proportion of articles on this topic continues to expand dramatically up to the present. Similarly, over this period, age related hearing loss has gradually increased as a proportion of published articles reflection the increase in the proportion of the population in the older age category.
Its most common use in the past has been to identify the ‘most citrated articles’ as a means to evaluate relative publishing influences [
2-
6]. However, this method fails to identify the most promising opportunities for future clinical and experimental studies. One reason is that by definition, the most cited articles are retrospective, not current, and therefore don’t necessarily reflect the most promising current areas of investigation. Second, the most cited articles don’t always reflect the most important trends in research. For example, the most cited study among otolaryngologic articles from 1985 to 2014 was ‘facial nerve grading system’ by House and Brackmann, published in 1985 [
2]. Although an important contribution to otology, it did not indicate an area of additional analysis for others. When the word search methodology of the current approach is applied, facial nerve palsy was relatively insignificant due to very low number of published studies which included this term. Third, there has been no statistical proof that any of the results based on the ranking of citations, the relative ranking of publications, or the change over time effectively predicts future research trends.
To address these limitations in the citation analysis approach, several researchers have applied novel statistical analysis methods to establish prognostic significance.
Sweileh, et al. [
11] used Poisson loglinear regression analysis to create a tool which could serve as a reliable predictor. Ranasinghe, et al. [
12] used the Cochran-Armitage test for trend analyses. Pearson and Spearman rank correlation analysis was introduced by Eysenbach [
13].
We believed a simplified, easy to access method was needed to understand current publications. Fortunately, ‘Pubmed. gov’ provided the tools needed, allowing searching for “results by year” through the internet on its home page. Downloaded data could then be merged into one data file, and analyzed for significant trends. Although this approach yields huge amounts of information, it too has a major limitation. The results of ‘Index Medicus 1946-1965’ and ‘other journals in multiple languages’ weren’t included. And, searching by word does not guarantee that the topic was addressed in detail, or served as the focus of the research. In many cases, the word is not central to the investigation itself. For example, recent interesting topics: single sided deafness, hearing preservation, neural plasticity, third window syndrome, migraine, neurovascular cross compression, etc. were major topics today, weren’t influence the results of present study. We think dramatically increasing of ‘speech discrimination’ might be due to common element of recent interesting topics. And, overlap of searching words, multicollinearity, false positive, false negative, etc. were was major limitations to analysis the patterns. For example, ‘pure tone audiometry’ and ‘Bekesy audiometry’ were almost identical during study period indicating equivalency, as multicollinearity. If present hypothesis was wrong, over- or underestimate of some searching words were possible. For example, speech discrimination might be over-estimate due to basic word to other searching topics.
Even though these major limitations, we do not believe these reduces the validity of the findings. We hypothesize that this same limitation would apply to all of the words and topics with relatively similar percentages. As a result, the comparative frequency of inclusion would be relatively equivalent for each searched disease, diagnostic tool, or treatment modality. As such, the findings in the review would be directionally correct, particularly over time.
Finally, the results of present study restrictedly suggested changing pattern of past published articles. Prediction of major topics in the future is subscribers’ own particular role.
In conclusion, the field of otology has evolved dramatically from prior to World War II to the present. The advances in diagnosis and treatment can be identified through a bibliometric analysis of the changing patterns of published articles using this “suggested new method” of word search. We applied this methodology to analyze the proportion of published articles in the categories of diagnosis, diagnostic tools, and treatment tools in the otologic field. We believe this method and approach can be used by investigators in various departments of Otorhinolaryngology Head and Neck Surgery to identify their research and clinical investigation.