Evidence map›Paper›PMID 38711868›Full record

ArticlePractical laboratory medicine2024

Seasonal variation of HbA1c levels in diabetic and non-diabetic patients.

Sana Ahuja, Sugandha Sugandha, Rohit Kumar, Sufian Zaheer, Mukul Singh

Abstract read
In one paragraph

Article in Practical laboratory medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. The Japanese Society of Hypertension Practical Consensus Guidelines for Seasonal Blood Pressure Management.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  2. Article
  3. Review
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  5. Article
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  7. Observational
  8. Observational
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

5 authors.

Sana AhujaDepartment of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Sugandha SugandhaDepartment of Pathology, GS Medical College and Hospital, Pilkhuwa, Hapur, Uttar Pradesh, India.
Rohit KumarDepartment of Pulmonary and Critical Care Medicine, Vardhman Mahavir Medical College & Safdarjung Hospital, New Delhi, India.
Sufian ZaheerDepartment of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Mukul SinghDepartment of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hemoglobin A1c (HbA1c) serves as a pivotal marker for long-term glycemic control. The Diabetes Control and Complications Trial (DCCT) established its relevance, yet gaps exist in understanding potential seasonal variations in HbA1c levels among diabetic patients. The study highlights the need to explore potential seasonal variations in HbA1c levels and their impact on diabetic patients. Materials and methods: This is an observational study conducted in a tertiary care hospital from January to December 2019, the study analyzed HbA1c levels in 8138 patients. Blood samples were collected using Potassium EDTA-containing vials and processed with an automated analyzer. Seasonal variations were explored using time series analysis. Results: Mean HbA1c levels peaked during the monsoon (June to September) and were lowest in autumn (October to November). Subgroup analysis revealed differences in patients with HbA1c values below and above 6.5 %. Those with controlled blood sugar showed higher levels in winter (December to February) and monsoon (June to September), while patients with HbA1c values ≥ 6.5 % exhibited significantly lower levels in monsoon (June to September) and autumn (October to November) compared to summer (March to May). Conclusion: In contrast to global trends, Indian patients demonstrated distinct seasonal variations in HbA1c levels. The highest levels during the monsoon (June to September) may be linked to reduced outdoor activity and dietary changes. The study emphasizes the need for tailored diabetes management considering seasonal influences. Further extensive, longitudinal studies across diverse Indian regions are recommended to comprehensively grasp the impact of seasonal changes on diabetes outcomes.

Indexed as

DiabeticsFasting blood glucoseGlycated hemoglobinHbA1cSeasonal variation

Identifiers

PMID38711868
PMCPMC11070616

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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.