How does the Object and Description table and JSON Output of Clinical Trials clinical study fields API function?

In this article, I will clarify the structure of the object table and JSON output for the Clinical Trials clinical study fields API. As a programmer, you are likely familiar with the concept of JSON and object tables, but it's important to understand how they are specifically used in the context of the Clinical Trials API. By the end of this article, you will have a clear understanding of the format and organization of the data you can expect to receive when making queries to the API.

Object and description table

1. StudyFieldsResponse: This is the main object returned by the Clinical Trials API when querying study fields. It contains information about the study fields requested, as well as the actual study records that match the query.

2. APIVrs: This object contains the version number of the Clinical Trials API being used.

3. DataVrs: This object contains the version number of the data used in the Clinical Trials database.

4. Expression: This object contains the query expression used to retrieve the study records.

5. NStudiesAvail: This object contains the total number of studies available in the Clinical Trials database.

6. NStudiesFound: This object contains the number of studies that match the query expression used.

7. MinRank: This object contains the lowest rank of the studies returned by the query.

8. MaxRank: This object contains the highest rank of the studies returned by the query.

9. NStudiesReturned: This object contains the number of study records returned in the query.

10. FieldList: This object contains a list of the study fields requested in the query.

11. NCTId: This object contains the unique identifier for each study record in the Clinical Trials database.

12. BriefTitle: This object contains a brief title or summary of the study.

13. Condition: This object contains the medical condition or disease being studied in the clinical trial.

The information provided in the table is essential for anyone using the Clinical Trials API to query the database for information about clinical studies. By understanding the different objects returned by the API, programmers can write more effective queries that return the specific data they need. For instance, the FieldList object provides a list of the study fields requested in the query, which helps programmers ensure that they are receiving the specific data they require. Additionally, the NCTId object provides a unique identifier for each study record, allowing programmers to retrieve or reference specific studies easily. By understanding the information in the table, programmers can ensure that they are making the most of the Clinical Trials API and accessing the data they need efficiently.

JSON Output

The given JSON output is a response from the Clinical Trials API, which contains data about clinical studies related to the medical condition "heart attack." The response contains various objects, including the StudyFieldsResponse object, which is the main object and contains metadata about the response. The APIVrs object contains the version number of the API being used, and DataVrs contains the version number of the Clinical Trials database. The NStudiesAvail object provides the total number of studies available in the database, while NStudiesFound indicates the number of studies that match the query. The FieldList object contains a list of the study fields requested in the query, and the StudyFields object is an array of the actual study records that match the query. Each study record contains its unique identifier NCTId, a brief title of the study BriefTitle, and the medical condition being studied Condition. The Rank object in each study record represents the order in which the studies were returned by the query, with MinRank and MaxRank indicating the range of ranks for the studies returned.

{
"StudyFieldsResponse":{
"APIVrs":"1.01.05",
"DataVrs":"2022:11:17 23:33:37.354",
"Expression":"heart attack",
"NStudiesAvail":433955,
"NStudiesFound":9364,
"MinRank":1,
"MaxRank":20,
"NStudiesReturned":20,
"FieldList":[
"NCTId",
"BriefTitle",
"Condition"
],
"StudyFields":[
{
"Rank":1,
"NCTId":[
"NCT01874691"
],
"BriefTitle":[
"China Acute Myocardial Infarction Registry"
],
"Condition":[
"Acute Myocardial Infarction"
]
},{
"Rank":2,
"NCTId":[
"NCT03015064"
],
"BriefTitle":[
"Post-Myocardial Infarction Patients in Santa Catarina, Brazil - Catarina Heart Study"
],
"Condition":[
"Myocardial Infarction"
]
},{
"Rank":3,
"NCTId":[
"NCT01168609"
],
"BriefTitle":[
"Left Atrial Distensibility and Left Ventricular Filling Pressure in Acute Myocardial Infarction"
],
"Condition":[
"Myocardial Infarction"
]
},{
"Rank":4,
"NCTId":[
"NCT03412435"
],
"BriefTitle":[
"Asan Medical Center Myocardial Infarction Registry"
],
"Condition":[
"Myocardial Infarction, Acute",
"Coronary Stenosis"
]
},{
"Rank":5,
"NCTId":[
"NCT04628104"
],
"BriefTitle":[
"CMR Findings in COVID-19 Patients Presenting With Myocardial Infarction"
],
"Condition":[
"Myocardial Infarction"
]
},{
"Rank":6,
"NCTId":[
"NCT00632788"
],
"BriefTitle":[
"The Influence of Acute Myocardial Infarction Checklist on the Door-to-Balloon Time"
],
"Condition":[
"Myocardial Infarction"
]
},{
"Rank":7,
"NCTId":[
"NCT01484158"
],
"BriefTitle":[
"Gait Speed for Predicting Cardiovascular Events After Myocardial Infarction"
],
"Condition":[
"Myocardial Infarction"
]
},{
"Rank":8,
"NCTId":[
"NCT00888537"
],
"BriefTitle":[
"Wiser Choices in Acute Myocardial Infarction"
],
"Condition":[
"Acute Myocardial Infarction"
]
},{
"Rank":9,
"NCTId":[
"NCT05090618"
],
"BriefTitle":[
"The Role of Genetic Factors in the Development of Myocardial Infarction in the Kazakh Population"
],
"Condition":[
"Heart Attack"
]
},{
"Rank":10,
"NCTId":[
"NCT01109225"
],
"BriefTitle":[
"Relation Between Aldosterone and Cardiac Remodeling After Myocardial Infarction"
],
"Condition":[
"Myocardial Infarction"
]
},{
"Rank":11,
"NCTId":[
"NCT02913820"
],
"BriefTitle":[
"Association of Snowfall and Myocardial Infarction"
],
"Condition":[
"Acute Myocardial Infarction"
]
},{
"Rank":12,
"NCTId":[
"NCT03022552"
],
"BriefTitle":[
"Heart Attack Research Program: Platelet Sub-Study (HARP)"
],
"Condition":[
"Myocardial Infarction"
]
},{
"Rank":13,
"NCTId":[
"NCT02072850"
],
"BriefTitle":[
"Detection and Significance of Heart Injury in ST Elevation Myocardial Infarction."
],
"Condition":[
"Acute ST-elevation Myocardial Infarction"
]
},{
"Rank":14,
"NCTId":[
"NCT00597922"
],
"BriefTitle":[
"Examining Heart Attacks in Young Women"
],
"Condition":[
"Acute Myocardial Infarction"
]
},{
"Rank":15,
"NCTId":[
"NCT01182064"
],
"BriefTitle":[
"Acute Myocardial Infarction by Penetrating Cardiac Trauma"
],
"Condition":[
"Myocardial Infarction"
]
},{
"Rank":16,
"NCTId":[
"NCT04327635"
],
"BriefTitle":[
"Safety Evaluation of Intracoronary Infusion of Extracellular Vesicles in Patients With AMI"
],
"Condition":[
"Heart Attack"
]
},{
"Rank":17,
"NCTId":[
"NCT04957719"
],
"BriefTitle":[
"Selatogrel Outcome Study in Suspected Acute Myocardial Infarction"
],
"Condition":[
"Acute Myocardial Infarction"
]
},{
"Rank":18,
"NCTId":[
"NCT04050163"
],
"BriefTitle":[
"MiSaver® Stem Cell Treatment for Heart Attack (Acute Myocardial Infarction)"
],
"Condition":[
"Myocardial Infarction"
]
},{
"Rank":19,
"NCTId":[
"NCT01150825"
],
"BriefTitle":[
"Feasibility of High Frequency QRS Analysis in Patients With Acute Myocardial Infarction"
],
"Condition":[
"Myocardial Infarction"
]
},{
"Rank":20,
"NCTId":[
"NCT01936675"
],
"BriefTitle":[
"Myocardial Infarction Genes (MI-GENES) Study"
],
"Condition":[
"Coronary Artery Disease",
"Myocardial Infarction",
"Genomic Risk Communication"
]
}
]
}
}

Conclusion

This article provides an overview of the Clinical Trials API, including its object table and JSON output. The table contains information on various objects returned by the API, such as StudyFieldsResponse, APIVrs, NStudiesAvail, NStudiesFound, and more. The JSON output is a response from the API that contains data about clinical studies related to a specific medical condition. It includes various objects such as StudyFieldsResponse, APIVrs, DataVrs, Expression, NStudiesAvail, NStudiesFound, MinRank, MaxRank, NStudiesReturned, FieldList, and StudyFields. The information in this conversation is useful for programmers who are using the Clinical Trials API to query the database for information about clinical studies. By understanding the objects and JSON output, they can write effective queries and access the data they need efficiently.

Reference

You can request access to the Clinical Trials clinical study fields API through the third-party data marketplace of WorldInData. The platform acts as a mediator between users and the API and provides a simplified process for requesting access. The WorldInData marketplace provides access to various datasets, including the Clinical Trials database, and offers a variety of features such as user-friendly query tools and visualizations. Access to the Clinical Trials API through WorldInData is subject to their terms and conditions and may require a fee or subscription. However, once granted access, users can leverage the powerful features of the Clinical Trials API to retrieve valuable information about clinical studies for research, analysis, or other purposes.

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