Evidence map›Paper›PMID 38248951›Full record

ArticleJournal of fungi (Basel, Switzerland)2024

The Development of a Clinical Registry Digital Database on Invasive Fungal Infections in India: Advancing Epidemiological Understanding and Patient Care.

Harleen Kaur, Kh Jitenkumar Singh, Saurabh Sharma, Madhuchhanda Das, Venencia Albert, Anup Kumar Ojha, Gagandeep Singh, Vinaykumar Hallur, Jayanthi Savio, Umabala Pamidimukkala and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 33% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

15 authors at 10 institutions in 1 country.

Harleen KaurICMR-National Institute of Medical Statistics (ICMR-NIMS), New Delhi 110029, India.
Kh Jitenkumar SinghICMR-National Institute of Medical Statistics (ICMR-NIMS), New Delhi 110029, India.
Saurabh SharmaICMR-National Institute of Medical Statistics (ICMR-NIMS), New Delhi 110029, India.ORCID 0000-0001-6744-5846
Madhuchhanda DasIndian Council of Medical Research (ICMR), New Delhi 110029, India.
Venencia AlbertIndian Council of Medical Research (ICMR), New Delhi 110029, India.
Anup Kumar OjhaIndian Council of Medical Research (ICMR), New Delhi 110029, India.
Gagandeep SinghDepartment of Microbiology, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India.ORCID 0000-0002-3169-8419
Vinaykumar HallurDepartment of Microbiology, All India Institute of Medical Sciences (AIIMS), Bhubaneswar 751019, India.ORCID 0000-0002-1001-7717
Jayanthi SavioDepartment of Microbiology, St. John's Medical College (SJMC), Bengaluru 560034, India.
Umabala PamidimukkalaDepartment of Microbiology, Nizam's Institute of Medical Sciences (NIMS), Hyderabad 500082, India.
Tadepalli KarunaDepartment of Microbiology, All India Institute of Medical Sciences (AIIMS), Bhopal 462020, India.
Reema NathDepartment of Microbiology, Assam Medical College (AMC), Dibrugarh 786002, India.
Immaculata XessDepartment of Microbiology, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India.
Prashant GuptaDepartment of Microbiology, King George's Medical University (KGMU), Lucknow 226003, India.ORCID 0000-0002-6925-3546
Anjali ShettyPD Hinduja, Mumbai 400016, India.
Indian Council of Medical Research · INNational Institute of Medical Statistics · INAll India Institute of Medical Sciences · INAll India Institute of Medical Sciences Bhopal · INAll India Institute of Medical Sciences Bhubaneswar · INAssam Medical College · INKing George's Medical University · INNizam's Institute of Medical Sciences · INP. D. Hinduja Hospital and Medical Research Centre · INSt.John's Medical College Hospital · IN

Funding

Indian Council of Medical Research 157401
6 · The paper itself

Abstract

A well-structured digital database is essential for any national priority project as it can provide real-time data analysis and facilitate quick decision making. In recent times, particularly after the COVID-19 pandemic, invasive fungal infections (IFIs) have emerged as a significant public health challenge in India, affecting vulnerable population, including immunocompromised individuals. The lack of comprehensive and well-structured data on IFIs has hindered efforts to understand their true burden and optimize patient care. To address this critical knowledge gap, the ICMR has undertaken a Pan-India pioneer initiative to develop a network of Advanced Mycology Diagnostic research centres in different geographical zones of the country (ICMR-MycoNet). Under the aegis of this project, a clinical registry on IFIs in the ICUs is initiated. This process paper presents a detailed account of the steps involved in the establishment of a web-based data entering and monitoring platform to capture data electronically, ensuring robust and secure data collection and management. This system not only allows participating ICMR-MycoNet centres to enter patient information directly into the database using standardized Case Report Form (CRF) but also includes data validation checks to ensure the accuracy and completeness of entered data. It is complemented by a real-time, web-based, and adaptable data visualization platform. This registry aims to provide crucial epidemiological insights, promote evidence-based hospital infection control programs, and ultimately improve patient outcomes in the face of this formidable healthcare challenge.

Indexed as

case report formclinical registrydiagnosisepidemiologyinvasive fungal infectionsmycologypublic health

Identifiers

PMID38248951
PMCPMC10817322
OpenAlexW4390616231

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.