Evidence map›Paper›PMID 29065474›Full record

ArticleNutrients2017

Multivariable Analysis of Nutritional and Socio-Economic Profiles Shows Differences in Incident Anemia for Northern and Southern Jiangsu in China.

Stefan Mutter, Aaron E Casey, Shiqi Zhen, Zumin Shi, Ville-Petteri Mäkinen

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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 3 institutions in 3 countries.

Stefan MutterSouth Australian Health and Medical Research Institute (SAHMRI), Adelaide SA 5000, Australia. stefan.mutter@sahmri.com.ORCID 0000-0002-8293-6982
Aaron E CaseySouth Australian Health and Medical Research Institute (SAHMRI), Adelaide SA 5000, Australia. aaron.casey@sahmri.com.ORCID 0000-0003-3224-2162
Shiqi ZhenDepartment of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing 210009, China. cdczsq@163.com.
Zumin ShiSchool of Medicine, University of Adelaide, Adelaide SA 5005, Australia. zumin.shi@adelaide.edu.au.ORCID 0000-0002-3099-3299
Ville-Petteri MäkinenSouth Australian Health and Medical Research Institute (SAHMRI), Adelaide SA 5000, Australia. ville-petteri.makinen@sahmri.com.
South Australian Health and Medical Research Institute · AUJiangsu Provincial Center for Disease Control and Prevention · CNThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anemia is a prevalent public health problem associated with nutritional and socio-economic factors that contribute to iron deficiency. To understand the complex interplay of risk factors, we investigated a prospective population sample from the Jiangsu province in China. At baseline, three-day food intake was measured for 2849 individuals (20 to 87 years of age, mean age 47 ± 14, range 20-87 years, 64% women). At a five-year follow-up, anemia status was re-assessed for 1262 individuals. The dataset was split and age-matched to accommodate cross-sectional (

Indexed as

Socioeconomic FactorsAdultAgedAged, 80 and overAnemia, Iron-DeficiencyBody Mass IndexChinaCholesterolCross-Sectional StudiesDietary FiberFerritinsFollow-Up StudiesHemoglobinsHumansIncidenceIron, DietaryCholesterolDietary FiberFerritinsHemoglobinsIron, DietaryTriglyceridesanemiaChinageographical dividegrainsironJiangsuricesubgroupssubtypeswheat

Identifiers

PMID29065474
PMCPMC5691769
OpenAlexW2765929203

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.