Evidence map›Paper›PMID 26689948›Full record

Trial reportEnvironmental health : a global access science source2015

Dietary supplementation with radionuclide free food improves children's health following community exposure to (137)Cesium: a prospective study.

Daria M McMahon, Vitaliy Y Vdovenko, Yevgenia I Stepanova, Wilfried Karmaus, Hongmei Zhang, Euridice Irving, Erik R Svendsen

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Environmental health : a global access science source, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  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

7 authors at 4 institutions in 2 countries.

Daria M McMahonDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, USA. mcmahond220@gmail.com.
Vitaliy Y VdovenkoResearch Center for Radiation Medicine, Academy of Medical Sciences of Ukraine, 53 Melnikova St., Kiev, 04050, Ukraine. xrisk@ua.fm.
Yevgenia I StepanovaResearch Center for Radiation Medicine, Academy of Medical Sciences of Ukraine, 53 Melnikova St., Kiev, 04050, Ukraine. profstepanova@i.ua.
Wilfried KarmausDivision of Epidemiology, Biostatistics, and Environmental Health Science, School of Public Health University of Memphis, 301 Robison Hall, Memphis, TN, 38152, USA. karmaus1@memphis.edu.
Hongmei ZhangDivision of Epidemiology, Biostatistics, and Environmental Health Science, School of Public Health University of Memphis, 301 Robison Hall, Memphis, TN, 38152, USA. hzhang6@memphis.edu.
Euridice IrvingTulane University School of Public Health and Tropical Medicine, 1440 Canal Street, New Orleans, LA, 70112, USA. eirving@tulane.edu.
Erik R SvendsenTulane University School of Public Health and Tropical Medicine, 1440 Canal Street, New Orleans, LA, 70112, USA. svendsee@musc.edu.
National Academy of Medical Sciences of Ukraine · UATulane University · USUniversity of Memphis · USUniversity of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFollowing the Chernobyl nuclear disaster of 1986, vast areas of Ukraine became contaminated with radionuclides. We examined health effects of school-based food intervention for children in a rural region Narodichi, Ukraine, exposed to low-level radiation through diet of locally produced foods. Until 1995, children received three daily meals with low content of artificial radionuclides which were subsequently reduced to two.

methodsAnnual health screening data (1993-1998) were examined using a quasi-experimental regression discontinuity analysis (n = 947 children; 3,573 repeated measurements). Generalized Estimating Equation models evaluated effect of the food supplementation reduction on hematologic measures and prevalence of anemia, acute respiratory illnesses and diseases of immune system.

resultsPrior improvement of several hematologic parameters diminished after food supplementation was reduced. From 1995 to 1996, levels of hemoglobin and erythrocytes decreased from 12.63 (95% CI: 12.56-12.71) to 12.46 g/dL (% CI: 12.39-12.52) and from 4.10 (95% CI: 4.07-4.12) to 4.02 (95% CI: 4.00-4.04) × 10(12)/L, respectively. In agreement, the prevalence ratio (PR) of previously declining anemia increased from 0.57 to 1.31 per year (p(interaction )< .0001). The relation between food supplementation and hemoglobin levels was modified by residential (137)Cs soil levels. After food supply reduction, PR of common cold and bronchitis increased from 1.27 to 2.32 per year (p(interaction) = 0.01) and from 1.09 to 1.24 per year (p(interaction) = 0.43), respectively.

conclusionsFood supplementation provided by the Ukrainian government likely prevented development of anemia in many of the children residing in the contaminated district. Food supplementation after the community exposure to radioactivity through a diet of locally grown foods should be considered as an effective approach to reduce adverse health effects of radiation.

Indexed as

Chernobyl Nuclear AccidentFood Contamination, RadioactiveAdolescentAnemiaBiomarkersCesium RadioisotopesChildDiet TherapyFemaleHealth Status IndicatorsHumansImmune System DiseasesMaleProspective StudiesRadiation ExposureRadiation InjuriesBiomarkersCesium Radioisotopes

Identifiers

PMID26689948
PMCPMC4687105
OpenAlexW2199464696

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.