Evidence map›Paper›PMID 42699490›Full record

ArticleEJIFCC2026

Big Data and Diabetes: Seven-Year Data from Pakistan's Nation-Wide Laboratory Network.

Lena Jafri, Yousra Sarfaraz, Sibtain Ahmed, Zaib Un Nisa, Bilal Hashmi, Saad Bin Zafar Mahmood, Ayesha Sadiqa, Aysha Habib Khan, Imran Siddiqui, Hafsa Majid

Abstract read
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Article in EJIFCC, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Lena JafriMedical College and Section of Chemical Pathology, Department of Pathology and Laboratory and 2nd Department of Medicine, Aga Khan University (AKU), Karachi.ORCID https://orcid.org/0000-0001-6807-5429
Yousra SarfarazMedical College and Section of Chemical Pathology, Department of Pathology and Laboratory and 2nd Department of Medicine, Aga Khan University (AKU), Karachi.
Sibtain AhmedMedical College and Section of Chemical Pathology, Department of Pathology and Laboratory and 2nd Department of Medicine, Aga Khan University (AKU), Karachi.
Zaib Un NisaMedical College and Section of Chemical Pathology, Department of Pathology and Laboratory and 2nd Department of Medicine, Aga Khan University (AKU), Karachi.
Bilal HashmiMedical College and Section of Chemical Pathology, Department of Pathology and Laboratory and 2nd Department of Medicine, Aga Khan University (AKU), Karachi.
Saad Bin Zafar MahmoodMedical College and Section of Chemical Pathology, Department of Pathology and Laboratory and 2nd Department of Medicine, Aga Khan University (AKU), Karachi.
Ayesha SadiqaMedical College and Section of Chemical Pathology, Department of Pathology and Laboratory and 2nd Department of Medicine, Aga Khan University (AKU), Karachi.
Aysha Habib KhanMedical College and Section of Chemical Pathology, Department of Pathology and Laboratory and 2nd Department of Medicine, Aga Khan University (AKU), Karachi.
Imran SiddiquiMedical College and Section of Chemical Pathology, Department of Pathology and Laboratory and 2nd Department of Medicine, Aga Khan University (AKU), Karachi.
Hafsa MajidMedical College and Section of Chemical Pathology, Department of Pathology and Laboratory and 2nd Department of Medicine, Aga Khan University (AKU), Karachi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diabetes has become a prominent worldwide public health issue, with its prevalence notably higher in lower middle-income countries. Pakistan ranks third globally in terms of number of individuals diagnosed with Type 2 Diabetes Mellitus and have highest prevalence of diabetes throughout the world. The objective of current study was to assess the frequency of diabetes in relation to demographics utilizing laboratory data of individuals residing in Pakistan. Methods: Biochemical data of HbA1c, fasting and random plasma glucose, and oral glucose tolerance test were retrieved from Laboratory Information System analyzed in Pathology and Laboratory Medicine department from Jan 2016 to Dec 2022. Specimens were received from Aga Khan University laboratories' network, which is spread over the country. For interpretation of biochemical tests' values American Diabetes Association (ADA) criteria was applied. Results: After removal of duplicates and missing data, the final sample included 4,260,171 unique individuals. Diabetes was present in 35.9% of the overall population, with the highest incidence (55.6%) recorded in males aged 35 to 59 years. Diabetes was significantly associated with advancing age and gender (p<0.001). Individuals who had the fasting blood glucose ≥ 126 mg/dl were (n=372,050), HbA1c exceeding 6.5% were (n=762,940) the random blood glucose ≥ 200 mg/dl were (n=128,820), OGTT level ≥ 200 mg/dl were (n=487) and diabetes confirmed with more than one diagnostic test were (n=505,609). Conclusion: The study, based on dataset of around 4.2 million individuals, revealed an overall diabetes frequency of 35.9%, with highest prevalence in middle-aged group (55.6%), and significant associations with both advancing age and gender.

Indexed as

Diabetes MellitusGlucoseHbA1cLow and middle income countriesPakistanPrediabetesPrevalence

Identifiers

PMID42699490
PMCPMC13543477

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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.