Evidence map›Paper›PMID 36792034›Full record

ArticleThe Journal of nutrition2023

A Practical Guide to Adjust Micronutrient Biomarkers for Inflammation Using the BRINDA Method.

Hanqi Luo, Jiaxi Geng, Madeleine Zeiler, Emily Nieckula, Fanny Sandalinas, Anne Williams, Melissa F Young, Parminder S Suchdev

Open access · hybridAbstract read
In one paragraph

Article in The Journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 36 citations in OpenAlex.

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  7. Cortisol Stress Response is Associated with Iron Status in Pregnancy.medRxiv : the preprint server for health sciences · 2026
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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

8 authors at 4 institutions in 4 countries.

Hanqi LuoHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States. Electronic address: Hanqi.luo@emory.edu.
Jiaxi GengHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Madeleine ZeilerHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Emily NieckulaHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Fanny SandalinasLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Anne WilliamsUniversity of Otago, Dunedin, New Zealand.
Melissa F YoungHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States; Centers for Disease Control and Prevention, Atlanta, GA, United States.
Parminder S SuchdevHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States; Centers for Disease Control and Prevention, Atlanta, GA, United States.
Emory University · USCenters for Disease Control and Prevention · USLondon School of Hygiene & Tropical Medicine · GBUniversity of Otago · NZ

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

The Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) research group was formed over a decade ago to improve the interpretation of micronutrient biomarkers in settings with inflammation. The BRINDA inflammation adjustment method uses regression correction to adjust for the confounding effects of inflammation on select micronutrient biomarkers and has provided important insights to micronutrient research, policy, and programming. However, users may face challenges when applying the BRINDA inflammation adjustment methods to their own data due to varying guidance on the adjustment approach for different biomarkers and the need to develop statistical programming to conduct these analyses. This may result in lost opportunities to have results of micronutrient data readily available during critical decision-making periods. Our research objectives are to 1) provide an all-in-one summary of the BRINDA method in adjusting multiple micronutrient biomarkers for inflammation, 2) evaluate whether malaria as a binary variable should be included in the BRINDA inflammation adjustment method, and 3) present standardized and user-friendly BRINDA adjustment R package and SAS macro. This paper serves as a practical guidebook for the BRINDA inflammation adjustment approach and aids users to use the BRINDA R package and SAS to streamline their analyses.

Indexed as

AnemiaAnemia, Iron-DeficiencyTrace ElementsBiomarkersC-Reactive ProteinHumansInflammationMicronutrientsNutritional StatusOrosomucoidBiomarkersC-Reactive ProteinMicronutrientsOrosomucoidTrace ElementsBRINDAinflammation adjustmentmicronutrientssoftware

Identifiers

PMID36792034
PMCPMC10202121
OpenAlexW4320481416

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.