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             \author[1]{A.S.M.  Sarwar}

             \author[2]{Khandaker Sabit Bin  Razzak}

             \author[3]{Anika  Bushra}

             \author[4]{Mohammad Nabil  Hossain}

             \author[5]{Dr. Md Moshiur  Rahman}

             \author[6]{Dr. Shirin  Tarafder}

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\date{\small \em Received: 8 June 2021 Accepted: 3 July 2021 Published: 15 July 2021}

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\begin{abstract}
        


Autism is a physical and mental condition that cause significant social, communication, and behavioral challenges. There is often nothing about how people with Autism Spectrum Disorder (ASD) look that sets them apart from other people. Still, people with ASD may communicate, interact, behave, and learn in ways that are different from most other people. The learning, thinking, and problem-solving abilities of people with ASD can range from gifted to severely challenged. Early diagnostic of ASD is very essential because delay detection may cause an increase in severity level. Autism diagnostic tools can play a significant role in the early detection of ASD. There are several diagnostics tools for ASD detection. The main objective of this study was to evaluate autism diagnostic tools among the children and find out the diagnostic outcome of early detection of ASD by systematic review. Some authentic databases like PUBMED, Google Scholar, Scopus were searched using keywords of relevant topics, and a protocol was developed with defined inclusion and exclusion criteria.

\end{abstract}


\keywords{Autism Spectrum Disorder (ASD), ADI-R, CARS, GARS-2, ASD diagnostic tools.}

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\let\tabcellsep& 	 	 		 
\section[{Introduction}]{Introduction}\par
utism is a complex condition that affects normal speech and functional behavior. It usually presents with a wide variety of experiences and skills. Autism or Autism Spectrum Disorder (ASD) can be a mild to a moderate issue that doesn't necessarily need the full-time treatment of a special facility. Learning, thinking, and problem-solving can vary greatly from one person with autism to another. Some people with ASD need more assistance than others, depending on the severity of their needs (CDC, 2020).\par
Diagnosing autism is daunting because there is no medical examination, including a blood test, to detect ASD. Doctors evaluate a child's history and behavior to make a diagnosis. The early diagnosis of children with ASD allows for the initiation of therapies that can enhance social and everyday life skills, resulting in a higher quality of life (Jennifer Harrison \hyperref[b15]{Elder, 2017)}. The American Academy of Pediatrics (AAP) recommends that children be tested for developmental delays at any health checkup. Screening detects developmental delays as early as 18 months of age (Sarabeth Broder-Fingert, 141).\par
Despite the agreement that ASD diagnoses occur more often today, researchers continue to question if the explanation is because of the rise in cases or a more precise diagnosis, or perhaps both. Regardless, one cannot ignore the fact that ASD is a prevalent disorder, with 1 in 68 children being diagnosed with some sort of ASD (Centers for Disease Control and Prevention, 2020).\par
Therefore, the clinician's appraisals of the symptoms of ASD remains the current norm for diagnosis. In 2013 the Diagnostic and Statistical Manual of Mental Disorders was updated to include two main ASD symptoms: chronic social and communication difficulties and an unusual preoccupation with certain habits and interests (American Psychiatric \hyperref[b7]{Association, 2013)}. Additionally, ASD severity has now become part of the diagnostic process, which shows the severity of the patient's symptoms. Research into ASD rejects conventional conceptualizations of ASD as a discrete entity and thus promotes ASD as a spectrum. The validity of objective tests of ASD has been shown across many cultures \hyperref[b12]{( Constantino, 2011)}. The study is now being conducted to promote the use of standardized, percentile-based definitions of ASD symptom manifestation. These percentile-based approaches have proven useful in characterizing other observable health disorders, such as anorexia nervosa and hypertension. At present, specialist professional judgment is needed to signal that someone has severe deficiency to the key symptom areas of ASD.\par
There are several methods to diagnose autism in a child, but none is to be used specifically. Diagnostic systems use sources from both the parents and guardians of the children, and a professional's evaluation of the children's conduct. Under certain cases, the primary care provider might offer further examination or therapy for a child and family if appropriate. Such advanced medicine encompasses pediatric neurologists, geneticists, developmentalbehavioral pediatricians, and early intervention programs that offer assessment services (CDC, 2020).\par
CDC suggested four Diagnosis tools of Autism Spectrum Disorder for Healthcare Providers:? Autism Diagnosis Interview-Revised(ADI-R) ? Childhood Autism Rating Scale (CARS) ? Gilliam Autism Rating Scale-Second Edition (GARS-2) ? Autism Diagnostic Observation Schedule- Genericexternal icon (ADOS-G) II. 
\section[{Objective of the Study}]{Objective of the Study}\par
The main objective of this study was to evaluate autism diagnostic tools among the children and assess the diagnostic performance of early detection of ASD by systematic review. 
\section[{III.}]{III.} 
\section[{Methodology}]{Methodology}\par
A state-of-the-art science review was performed, as stated by Grant and Booth, to provide broad and up-to-date information related to the early diagnosis and treatment of ASD. Population, intervention, comparisons, outcome study strategy was used focusing on the evaluation of autism diagnostic tools. A reliable searching database like PUBMED, Google Scholar, Scopus was performed using keywords of a relevant topic. A protocol was developed with defined inclusion and exclusion criteria. The abstracts of publications identified will be screened according to PRISMA criteria. After checking the homogeneity of data, the relevant contents were included, and irrelevant contents were excluded for the study. After screening, all studies finally included 40 studies for our study. The PRISMA model is showing below:IV. 
\section[{Results}]{Results}\par
The table 1 and 2 shows some of the relevant results of three ASD diagnostic tools of selective study:  
\section[{Total Study 40}]{Total Study 40}\par
Note: We just evaluating top three of the ASD diagnostic tools.\par
V. 
\section[{Discussion}]{Discussion}\par
We considered the four ASD diagnostic tools for discussion here:\par
The ADI-R is a formal interview with the parents of children referred for the diagnosis of potential autism or autism spectrum disorders. An interview with someone with a mental age of at least 24 months and assessing actions in the fields of mutual social interaction, communication and language may be used for diagnostic purposes. A method for diagnosing autism in adults and infants. The instrument assesses actions in three categories: social interaction; communication, and language; and thoughts and desires that are limited and repetitive. One study stated, early childhood ASD and lower language capacity were in the mild-to-moderate range of the ADI-R. Almost half of the older and phrase expression ASD-group fell into the little-to-no concern range ( Annelies de Bildt S. S., 2004).\par
A quick and simple evaluation can be used on any child from 2 years old. The CARS assessment assesses five classification systems for autism and lists the symptoms, skills, and behaviors covered. One frequently used scale for measuring gains achieved in the treatment of autism is the Childhood Autism Assessment Scale (Eric Schopler, 1980). To evaluate symptoms consistent with autism, the CARS evaluates 14 domains, while the 15th domain rates general experiences of autism. Each domain is rated on a scale of one to four; higher scores suggest more difficulty. Scores will vary from 15 and 60; scores below 30 mean that the child is in the non-autistic range, scores between 30 and 36.5 indicate mild to moderate autism, and scores from 37 to 60 indicate extreme autism. The CARS highlights good alignment between DSM-IV criteria and signs of Asperger Syndrome. In a survey of 274 children at preschool (Adrienne Perry, 2005). a strong concordance rate of 88 percent was found between classifications made using the CARS and DSM-IV criteria. An analysis of 54 children diagnosed with autism disability found that the CARS-A and DSM-IV criteria were strongly comparable.\par
The guide supports students, caregivers, and physicians in recognizing autism in children aged three to twenty-two. It is useful in estimating how bad a child's condition is. The Gilliam Autism Assessment Scale-Second Edition is a diagnostic test for autism spectrum disorders between 3 and 22 years. It was developed to assist diagnosis for people with a type of autism and help discern those with extreme developmental problems from those usually developing. The GARS-2 was developed as a complementary instrument to facilitate the diagnosis of autism, and it is meant to be used in conjunction with other screening approaches.\par
A diagnostic technique for people accused of developing autism that measures social, communication, play, and creative use of materials. The observational plan includes four 30-minute modules that are structured to be delivered in various ways to different people as appropriate. The Autism Diagnostic Observation Schedule, the new version (ADOS-R) contains revised diagnostic algorithms and standardized severity ratings for tests used to test children under ten. This form of autism is characterized by impairments in social-communication and the occurrence of limited, repeated, and stereotyped activities and interests \hyperref[b7]{(Association, 2013)}. Autism used to be conceived of as a disease that affects children. However, reports of young adults with this type of ASD (autism spectrum disorder) show varying results. One study stated, the observational schedule consists of four 30-minute modules, each designed to be administered to different individuals according to their level of expressive language. Psychometric data are presented for 223 children and adults with Autistic Disorder (autism), Pervasive Developmental Disorder Not Otherwise Specified (PDDNOS), or non-spectrum diagnoses. With each particular module, the groups struggle with the same degree of language expression. These test results show significant interrater and testretest reliability for individual products, excellent interpreter reliability within the medical situations, and excellent internal consistency among the domains. 
\section[{VI.}]{VI.} 
\section[{Conclusion}]{Conclusion}\par
In this study, we found that several studies used different types of diagnostic tools. All the tools have significantly able to determine ASD. ADI-R is used in maximum cases, but effectiveness is slightly low compare to CARS and GARS-2. Geographical and ethnographic socio-cultural differences may cause different impacts on the performance of the ASD diagnostic tools. There is also a scope of improvement of ASD diagnostic tools as per geographical ethnographic, and genetic differences of children. Further study is needed worldwide to assess the effectiveness of ASD diagnostic tools.\begin{figure}[htbp]
\noindent\textbf{-} \par 
\begin{longtable}{P{0.32153558052434456\textwidth}P{0.09741573033707865\textwidth}P{0.159812734082397\textwidth}P{0.04202247191011236\textwidth}P{0.034382022471910106\textwidth}P{0.058576779026217225\textwidth}P{0.04584269662921348\textwidth}P{0.01846441947565543\textwidth}P{0.0649438202247191\textwidth}P{0.00700374531835206\textwidth}}
\multicolumn{3}{l}{Childhood Autism Rating Scale (CARS)}\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
(Colby Chlebowski, 2010)\tabcellsep Original Article\tabcellsep Retro study prospective\tabcellsep 606\tabcellsep 3.5-5.5\tabcellsep 0.001\tabcellsep \multicolumn{2}{l}{0.88}\tabcellsep 4.6\\
(Alessandra Pereira, 2008)\tabcellsep Original Article\tabcellsep Cross sectional study\tabcellsep 60\tabcellsep 3-17\tabcellsep 0.05\tabcellsep \multicolumn{2}{l}{-0.84}\tabcellsep 0.61\\
(Tamara Dawkins, 2016)\tabcellsep Original Article\tabcellsep Cross sectional study\tabcellsep 183\tabcellsep 1-62\tabcellsep 0.03\tabcellsep 1.2\tabcellsep \tabcellsep 2.3\\
\multicolumn{4}{l}{Gilliam Autism Rating Scale -Second Edition (GARS-2)}\tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
(Mahboubeh Ghayour, 2018)\tabcellsep Original Article\tabcellsep Case control study\tabcellsep 26\tabcellsep 2-7\tabcellsep 0.001\tabcellsep \multicolumn{2}{l}{0.345}\tabcellsep 1.71\\
(Martin A. Volker, 2016)\tabcellsep Original Article\tabcellsep Cross Sectional Study\tabcellsep 240\tabcellsep 3-21\tabcellsep 0.001\tabcellsep \multicolumn{2}{l}{0.65}\tabcellsep 1.28\\
(Linda Sue Jacksona, 2013)\tabcellsep Original Article\tabcellsep \multicolumn{4}{l}{Prospective Study Table-2: Effectiveness of autism diagnostic tools. 100 4-21 0.02}\tabcellsep \multicolumn{2}{l}{0.861}\tabcellsep 1.38\tabcellsep Year 2021\\
\multicolumn{3}{l}{Name of diagnostic tools}\tabcellsep \multicolumn{2}{l}{Number of study review}\tabcellsep \multicolumn{2}{l}{Effectiveness rate of the tools}\tabcellsep \multicolumn{2}{l}{Average effectiveness}\tabcellsep 43\\
\multicolumn{3}{l}{Autism Diagnosis Interview -Revised (ADI-R) Childhood Autism Rating Scale (CARS) Gilliam Autism Rating Scale -Second Edition (GARS-2)}\tabcellsep 13 14 13\tabcellsep \tabcellsep 96.5\% 98\% 97\%\tabcellsep \tabcellsep 97.166\%\tabcellsep Volume XXI Issue I Version I\\
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\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep Medical Research\\
\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep Global Journal of\\
Study\tabcellsep Study Type\tabcellsep Method of study\tabcellsep No of ASD Child\tabcellsep Age range (in Year)\tabcellsep P Value\tabcellsep \multicolumn{3}{l}{95\% Confidence Interval lower upper}\\
\multicolumn{3}{l}{Autism Diagnosis Interview -Revised (ADI-R)}\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
(Catherine Lord, 2006)\tabcellsep Original Article\tabcellsep Prospective\tabcellsep 67\tabcellsep 2-9\tabcellsep 0.001\tabcellsep 1.6\tabcellsep \tabcellsep 7.3\\
(Annelies de\tabcellsep Original\tabcellsep Prospective\tabcellsep 1104\tabcellsep 1.75-4\tabcellsep 0.002\tabcellsep 2.1\tabcellsep \tabcellsep 8.3\\
Bildt, 2015)\tabcellsep Article\tabcellsep observational\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
(Eric Zander, 2017)\tabcellsep Original Article\tabcellsep Cross sectional\tabcellsep 10\tabcellsep 2-17\tabcellsep 0.001\tabcellsep \multicolumn{2}{l}{0.93}\tabcellsep 5.8\end{longtable} \par
  {\small\itshape [Note: A © 2021 Global Journals Evaluation of Autism Diagnostic Tools among Young Children: A Systematic Review]} 
\caption{\label{tab_0}Table - 1}\end{figure}
 		 		\backmatter   			 
\subsection[{Acknowledgement}]{Acknowledgement}\par
I wish to acknowledge the entire topbright research team and advisors and the psychological support of my wife and child for patience while writing this work. 			  			 
\subsection[{Author contribution}]{Author contribution}\par
I designed, searched literature, and prepared the manuscript for submission. All co-author contributes for searching. 
\subsection[{Potential Competing interest}]{Potential Competing interest}\par
No potential competing interest. 
\subsection[{Funding Source}]{Funding Source}\par
No research grant or any other funding for this research.			 			  				\begin{bibitemlist}{1}
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\end{document}
