Evidence map›Paper›PMID 42251248›Full record

ArticleBMC infectious diseases2026

Risk factors for mucormycosis among diabetic individuals, Bathinda, Punjab: a case-control study.

Gopi Kumbha, Michi Monya, Sushma Choudhary, Gagandeep Singh Grover, Usha Goyal, Rakesh Kakkar, Vaibhav Saini, Vikasdeep Gupta, Anuradha Raj, Soumya Swaroop Sahoo and 2 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

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

12 authors.

Gopi KumbhaDepartment of Epidemiology, South Asia Field Epidemiology Network, Inc., Delhi, India. k.gopi@safetynet-web.org.
Michi MonyaDepartment of Epidemiology, National Centre for Disease Control, Delhi, India.
Sushma ChoudharyDepartment of Epidemiology, South Asia Field Epidemiology Network, Inc., Delhi, India. s.choudhary@safetynet-web.org.
Gagandeep Singh GroverDepartment of Health and Family Welfare, Government of Punjab, Bathinda, India.
Usha GoyalDepartment of Health and Family Welfare, Bathinda, Punjab, India.
Rakesh KakkarDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, Punjab, India.
Vaibhav SainiDepartment of ENT, All India Institute of Medical Sciences, Bathinda, Punjab, India.
Vikasdeep GuptaDepartment of ENT, All India Institute of Medical Sciences, Bathinda, Punjab, India.
Anuradha RajDepartment of Ophthalmology, All India Institute of Medical Sciences, Bathinda, Punjab, India.
Soumya Swaroop SahooDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bathinda, Punjab, India.
Sivanantham KrishnamoorthiDepartment of Microbiology, All India Institute of Medical Sciences, Bathinda, Punjab, India.
Tanzin DikidNational AIDS Control OrganizationMinistry of Health and Family Welfare, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMucormycosis is a rare fungal infection that contributes to the high mortality rate of 45-90% reported in India. In November 2023, India's National Disease Surveillance Program identified a surge in mucormycetes fungal infection among reported cases at All India Institute of Medical Sciences (AIIMS), Bathinda, Punjab. The descriptive analysis identified diabetes and acute stress events (hospitalizations, surgeries, dental procedures, or trauma in the past 6 weeks) among 70% and 50% of cases, respectively. A case-control study was conducted among individuals with diabetes to identify stress events and other risk factors for mucormycosis.

methodsA case was defined diabetic individual diagnosed with mucormycosis by both clinical presentation and microbiological confirmation (KOH/cacoflour white microscopy) and imaging (CT scan) in AIIMS Bathinda between January 2023 and June 2024. Sample size was assumed to be 50% exposure to stress events among cases and 25% among controls, with a 3:1 control-to-case ratio, 95% CI, and 80% power. Controls were diabetics attending the endocrinology outpatient department (OPD) of the same hospital who did not have mucormycosis between July and October 2024. The participants were interviewed using a semi-structured questionnaire to collect information on their socio-demographics and potential exposures. The adjusted odds ratio (aOR) was calculated with a 95% confidence interval.

resultsAmong the 36 cases, the median age was 54 years (IQR: 45-61), with 81% being males; 102 controls had a median age of 52 years (IQR: 43-61), with 55% being males. Rural residence was reported in 75% of cases compared to 63% of controls, while other comorbidities, apart from diabetes, were observed in 36% of cases and 49% of controls. The sites primarily affected by mucormycosis were rhino-orbital-cerebral (78%) and pulmonary (10%) cases. In multivariate analysis, acute stress events (aOR = 3.2; 95%CI = 1.1-9.3), cattle handling (aOR = 4.9; 95%CI = 1.8-13.3), and using earthen pots for drinking water storage (aOR = 3.7; 95%CI = 1.4-9.4) were identified as significantly increasing the odds of developing mucormycosis.

conclusionsPreventive measures such as promoting safe handling practices during cattle handling and improving hygienic water storage may be considered, particularly among high-risk populations. Increasing clinicians' awareness of potential risk factors and strengthening health education in rural settings.

Indexed as

Diabetes ComplicationsDiabetes MellitusMucormycosisAdultCase-Control StudiesFemaleHumansIndiaMaleMiddle AgedRisk FactorsCase-controlDiabetesFungal infectionsMucormycosisMycoses

Identifiers

PMID42251248
PMCPMC13386632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.