Evidence map›Paper›PMID 29915581›Full record

SynthesisFrontiers in immunology2018

The Importance of Sex Stratification in Autoimmune Disease Biomarker Research: A Systematic Review.

Kristy Purnamawati, Jamie Ann-Hui Ong, Siddharth Deshpande, Warren Kok-Yong Tan, Nihar Masurkar, Jackson Kwee Low, Chester Lee Drum

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 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

7 authors at 1 institution in 1 country.

Kristy PurnamawatiBiomedical Institute for Global Health Research and Technology (BIGHEART), National University of Singapore (NUS), Singapore, Singapore.
Jamie Ann-Hui OngNational University of Singapore, Singapore, Singapore.
Siddharth DeshpandeNational University of Singapore, Singapore, Singapore.
Warren Kok-Yong TanNational University of Singapore, Singapore, Singapore.
Nihar MasurkarNational University of Singapore, Singapore, Singapore.
Jackson Kwee LowNational University of Singapore, Singapore, Singapore.
Chester Lee DrumNational University of Singapore, Singapore, Singapore.
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune system is highly dynamic and regulated by many baseline characteristic factors. As such, significant variability may exist among different patient groups suffering from the same autoimmune disease (AD). However, contemporary research practices tend to take the reductionist aggregate approach: they do not segment AD patients before embarking on biomarker discovery. This approach has been productive: many novel AD biomarkers have recently been discovered. Yet, subsequent validation studies of these biomarkers tend to suffer from a lack of specificity, sensitivity, and reproducibility which hamper their translation for clinical use. To enhance reproducibility in validation studies, an optimal discovery-phase study design is paramount: one which takes into account different parameters affecting the immune system biology. In this systematic review, we highlight need for stratification in one such parameter, i.e., sex stratification. We will first explore sex differences in immune system biology and AD prevalence, followed by reported sex-bias in the clinical phenotypes of two ADs-one which more commonly affects females: systemic lupus erythematosus, and one which more commonly affects males: ankylosing spondylitis. The practice of sex stratification in biomarker research may not only advance the discovery of sex-specific AD biomarkers but more importantly, promote reproducibility in subsequent validation studies, thus easing the translation of these novel biomarkers from bench to bedside to improve AD diagnosis. In addition, such practice will also promote deeper understanding for differential AD pathophysiology in males and females, which will be useful for the development of more effective interventions for each sex type.

Indexed as

BiomarkersResearchAnimalsAutoimmune DiseasesAutoimmunityFemaleHumansImmunityMalePhenotypeSex CharacteristicsSex FactorsBiomarkersautoimmune diseasesbiomarkersgendersex differencessex stratification

Identifiers

PMID29915581
PMCPMC5994590
OpenAlexW2803689805

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.