Evidence map›Paper›PMID 21619649›Full record

ArticleBMC public health2011

Multi-center feasibility study evaluating recruitment, variability in risk factors and biomarkers for a diet and cancer cohort in India.

Rashmi Sinha, Carrie R Daniel, Niveditha Devasenapathy, Hemali Shetty, Susan Yurgalevitch, Leah M Ferrucci, Preethi S George, Kerry Grace Morrissey, Lakshmy Ramakrishnan, Barry I Graubard and 9 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Oral cancer incidence and mortality in China, 2011.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2015
    Article
  2. Review
  3. 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

19 authors at 10 institutions in 4 countries.

Rashmi SinhaNational Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA. sinhar@mail.nih.gov
Carrie R Daniel
Niveditha Devasenapathy
Hemali Shetty
Susan Yurgalevitch
Leah M Ferrucci
Preethi S George
Kerry Grace Morrissey
Lakshmy Ramakrishnan
Barry I Graubard
Kavita Kapur
K Srinath Reddy
Mary J McAdams
Tanuja Rastogi
Nilanjan Chatterjee
Prakash C Gupta
Sholom Wacholder
Dorairaj Prabhakaran
Aleyamma A Mathew
National Institutes of Health · USCentre for Chronic Disease Control · INHealis Sekhsaria Institute For Public Health · INNational Cancer Institute · USRegional Cancer Center, Thiruvananthapuram · INWestat (United States) · USAll India Institute of Medical Sciences · INInformation Management Services · USSteno Diabetes Center · DKWorld Food Programme · IT

Funding

Etiologic Studies of Diet and CancerZIACP010127 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ABNET, CHRISTIAN · 2009 to 2025
$3.5M
CLINICAL/IMMUNOLOGIC/GENETIC ANALYSES OF AUTOIMMUNE LYMPHOPROLIFERATIVE SYNDROMEZ01AI000732 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI RAO, VEMULKONDA · 1995 to 2008
$1.1M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundIndia's population exhibits diverse dietary habits and chronic disease patterns. Nutritional epidemiologic studies in India are primarily of cross-sectional or case-control design and subject to biases, including differential recall of past diet. The aim of this feasibility study was to evaluate whether a diet-focused cohort study of cancer could be established in India, providing insight into potentially unique diet and lifestyle exposures.

methodsField staff contacted 7,064 households within three regions of India (New Delhi, Mumbai, and Trivandrum) and found 4,671 eligible adults aged 35-69 years. Participants completed interviewer-administered questionnaires (demographic, diet history, physical activity, medical/reproductive history, tobacco/alcohol use, and occupational history), and staff collected biological samples (blood, urine, and toenail clippings), anthropometric measurements (weight, standing and sitting height; waist, hip, and thigh circumference; triceps, sub-scapula and supra-patella skin fold), and blood pressure measurements.

resultsEighty-eight percent of eligible subjects completed all questionnaires and 67% provided biological samples. Unique protein sources by region were fish in Trivandrum, dairy in New Delhi, and pulses (legumes) in Mumbai. Consumption of meat, alcohol, fast food, and soft drinks was scarce in all three regions. A large percentage of the participants were centrally obese and had elevated blood glucose levels. New Delhi participants were also the least physically active and had elevated lipids levels, suggesting a high prevalence of metabolic syndrome.

conclusionsA high percentage of participants complied with study procedures including biological sample collection. Epidemiologic expertise and sufficient infrastructure exists at these three sites in India to successfully carry out a modest sized population-based study; however, we identified some potential problems in conducting a cohort study, such as limited number of facilities to handle biological samples.

Indexed as

BiomarkersDietNeoplasmsPatient SelectionAdultAgedAnthropometryBlood Pressure DeterminationCohort StudiesFeasibility StudiesFemaleHumansIndiaMaleMiddle AgedRisk FactorsBiomarkers

Identifiers

PMID21619649
PMCPMC3128020
OpenAlexW2152330992

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.