Evidence map›Paper›PMID 38622601›Full record

Observational studyBMC public health2024

Risk of diabetes and expected years in life without diabetes among adults from an urban community in India: findings from a retrospective cohort.

Palak Sharma, T R Dilip, Anjali Kulkarni, Udaya Shankar Mishra, Yogesh Shejul

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 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
0.7field-weighted citation impact, top 28% 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

5 authors at 2 institutions in 1 country.

Palak SharmaDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, 400088, India. pal3193@gmail.com.ORCID 0000-0001-8870-9097
T R DilipDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, 400088, India.
Anjali KulkarniMedical Division, Bhabha Atomic Research Center, Mumbai, 400088, India.
Udaya Shankar MishraDepartment of Bio-statistics and Epidemiology, International Institute for Population Sciences, Mumbai, 400088, India.
Yogesh ShejulMedical Division, Bhabha Atomic Research Center, Mumbai, 400088, India.
International Institute for Population Sciences · INBhabha Atomic Research Center Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes prevalence has increased over the past few decades, and the shift of the burden of diabetes from the older population to the younger population has increased the exposure of longer durations in a morbid state. The study aimed at ascertaining the likelihood of progression to diabetes and to estimate the onset of diabetes within the urban community of Mumbai.

methodsThis study utilized an observational retrospective non-diabetic cohort comprising 1629 individuals enrolled in a health security scheme. Ten years of data were extracted from electronic medical records, and the life table approach was employed to assess the probability of advancing to diabetes and estimate the expected number of years lived without a diabetes diagnosis.

resultsThe study revealed a 42% overall probability of diabetes progression, with age and gender variations. Males (44%) show higher probabilities than females (40%) of developing diabetes. Diabetes likelihood rises with age, peaking in males aged 55-59 and females aged 65-69. Males aged 30-34 exhibit a faster progression (10.6 years to diagnosis) compared to females (12.3 years).

conclusionThe study's outcomes have significant implications for the importance of early diabetes detection. Progression patterns suggest that younger cohorts exhibit a comparatively slower rate of progression compared to older cohorts.

Indexed as

Diabetes MellitusAdultFemaleHumansIndiaLife TablesMalePrevalenceRetrospective StudiesRisk FactorsCohort studyDisease progressionElectronic medical records (EMR)Life tableType 2 diabetes

Identifiers

PMID38622601
PMCPMC11020643
OpenAlexW4394808223

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.