Evidence map›Paper›PMID 28856588›Full record

ArticleIntensive care medicine experimental2017

Whole blood microRNA markers are associated with acute respiratory distress syndrome.

Zhaozhong Zhu, Liming Liang, Ruyang Zhang, Yongyue Wei, Li Su, Paula Tejera, Yichen Guo, Zhaoxi Wang, Quan Lu, Andrea A Baccarelli and 5 more

Open access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 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

15 authors at 4 institutions in 2 countries.

Zhaozhong ZhuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA.
Liming LiangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Ruyang ZhangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA.
Yongyue WeiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA.
Li SuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA.
Paula TejeraDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA.
Yichen GuoDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA.
Zhaoxi WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA.
Quan LuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA.
Andrea A BaccarelliDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA.
Xi ZhuDepartment of Critical Care Medicine, Peking University Third Hospital, Beijing, China.
Ednan K BajwaPulmonary and Critical Care Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
B Taylor ThompsonPulmonary and Critical Care Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Guo-Ping ShiDepartment of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA. dchris@hsph.harvard.edu.
Harvard University · USBrigham and Women's Hospital · USNanjing Medical University · CNPeking University Third Hospital · CN

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
MOLECULAR EPIDEMIOLOGY OF ARDSR01HL060710 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 2000 to 2015
$8.4M
Role of a novel IL18 binding protein in atherosclerosisR01HL123568 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SHI, GUO-PING · 2015 to 2018
$1.7M
Whole Blood MicroRNAs as Risk and Survival Biomarkers for ARDSR56HL134356 · NHLBI · HARVARD SCHOOL OF PUBLIC HEALTH · PI CHRISTIANI, DAVID C · 2016 to 2016
$570k
NHLBI NIH HHS R01 HL060710NHLBI NIH HHS R01 HL123568NHLBI NIH HHS R56 HL134356NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) can play important roles in inflammation and infection, which are common manifestations of acute respiratory distress syndrome (ARDS). We assessed if whole blood miRNAs were potential diagnostic biomarkers for human ARDS.

methodsThis nested case-control study (N = 530) examined a cohort of ARDS patients and critically ill at-risk controls. Whole blood miRNA profiles and logistic regression analyses identified miRNAs correlated with ARDS. Stratification analysis also assessed selected miRNA markers for their role in sepsis and pneumonia associated with ARDS. Receiver operating characteristic (ROC) analysis evaluated miRNA diagnostic performance, along with Lung Injury Prediction Score (LIPS).

resultsStatistical analyses were performed on 294 miRNAs, selected from 754 miRNAs after quality control screening. Logistic regression identified 22 miRNAs from a 156-patient discovery cohort as potential risk or protective markers of ARDS. Three miRNAs-miR-181a, miR-92a, and miR-424-from the discovery cohort remained significantly associated with ARDS in a 373-patient independent validation cohort (FDR q < 0.05) and meta-analysis (p < 0.001). ROC analyses demonstrated a LIPS baseline area-under-the-curve (AUC) value of ARDS of 0.708 (95% CI 0.651-0.766). Addition of miR-181a, miR-92a, and miR-424 to LIPS increased baseline AUC to 0.723 (95% CI 0.667-0.778), with a relative integrated discrimination improvement of 2.40 (p = 0.005) and a category-free net reclassification index of 27.21% (p = 0.01).

conclusionsmiR-181a and miR-92a are risk biomarkers for ARDS, whereas miR-424 is a protective biomarker. Addition of these miRNAs to LIPS can improve the risk estimate for ARDS.

Indexed as

ARDSLIPSMicroRNAWhole blood

Identifiers

PMID28856588
PMCPMC5577350
OpenAlexW2750651342

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.