Evidence map›Paper›PMID 29246207›Full record

ArticleBMC pulmonary medicine2017

Plasma surfactant protein-D as a diagnostic biomarker for acute respiratory distress syndrome: validation in US and Korean cohorts.

Jinkyeong Park, Maria Pabon, Augustine M K Choi, Ilias I Siempos, Laura E Fredenburgh, Rebecca M Baron, Kyeongman Jeon, Chi Ryang Chung, Jeong Hoon Yang, Chi-Min Park and 1 more

Registry-linked trialOpen access · goldAbstract readMulticenter StudyValidation Study
In one paragraph

Article in BMC pulmonary medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04632732 (Apelin; ACE2 and Biomarkers of Alveolar-capillary Permeability in SARS-cov-2), which is not on this map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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.

NCT04632732 completednot on this mapstarted 2020, after this paper: background citation

Apelin; ACE2 and Biomarkers of Alveolar-capillary Permeability in SARS-cov-2 (COVID-19).

Typeobservational_patient_registrySponsorCentre de recherche du Centre hospitalier universitaire de SherbrookeRan2020 to 2021Enrolled140ConditionsCovid19ArmsCOVID-19 test, Blood sampling
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
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  15. Could SP-A and SP-D Serum Levels Predict COVID-19 Severity?International journal of molecular sciences · 2024
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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

11 authors at 5 institutions in 2 countries.

Jinkyeong ParkDepartment of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Maria PabonDepartment of Medicine, Weill Cornell Medical College, New York, NY, USA.
Augustine M K ChoiDepartment of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Ilias I SiemposDepartment of Medicine, Weill Cornell Medical College, New York, NY, USA.
Laura E FredenburghDivision of Pulmonary and Critical Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Rebecca M BaronDivision of Pulmonary and Critical Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Kyeongman JeonDepartment of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Chi Ryang ChungDepartment of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jeong Hoon YangDepartment of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Chi-Min ParkDepartment of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Gee Young SuhDepartment of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. smccritcare@gmail.com.
Sungkyunkwan University · KRCornell University · USSamsung Medical Center · KRBrigham and Women's Hospital · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute respiratory distress syndrome (ARDS) is potentially underrecognized by clinicians. Early recognition and subsequent optimal treatment of patients with ARDS may be facilitated by usage of biomarkers. Surfactant protein D (SP-D), a marker of alveolar epithelial injury, has been proposed as a potentially useful biomarker for diagnosis of ARDS in a few studies. We tried to validate the performance of plasma SP-D levels for diagnosis of ARDS.

methodsWe conducted a retrospective analysis using data from three (two in USA and one in Korea) prospective biobank cohorts involving 407 critically ill patients admitted to medical intensive care unit (ICU). A propensity score matched analysis (patients with versus without ARDS, matched 1:1) was carried out using significant variables from multiple logistic regression. The diagnostic accuracy of plasma SP-D as a diagnostic marker of ARDS was assessed by receiver operating characteristic curve analysis.

resultsOut of the 407 subjects included in this study, 39 (10%) patients fulfilled ARDS criteria. Patients with ARDS had higher SP-D levels in plasma (p < 0.01) and higher hospital-mortality (p < 0.001) than those without ARDS. Thirty eight subjects with ARDS (cases) were successfully matched for propensity for ARDS with 38 subjects without ARDS (controls). Plasma levels of SP-D were higher in cases with ARDS compared to their matched controls without ARDS [median 20.8 ng/mL (interquartile range, 12.7-38.4) versus 7.9 (4.1-17.0); p = 0.001]. The area under the receiver operating characteristic curve for SP-D for the diagnosis of ARDS was 0.71 (95% confidence intervals, 0.60-0.83). A cut-off point of 12.7 ng/mL for SP-D yielded sensitivity of 74% and specificity of 63%.

conclusionsHigh levels of SP-D within 48 h after ICU admission might serve as a diagnostic marker for ARDS in patients hospitalized in medical ICU. Further prospective trials are required to validate the diagnostic role of SP-D in ARDS, and if its usefulness is greater in direct than in indirect ARDS, as well as across different strata of severity of ARDS.

Indexed as

AgedBiomarkersCase-Control StudiesCritical IllnessFemaleHospital MortalityHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedPropensity ScorePulmonary Surfactant-Associated Protein DRepublic of KoreaRespiratory Distress SyndromeRetrospective StudiesBiomarkersPulmonary Surfactant-Associated Protein DAcute lung injuryCritical illnessPulmonary surfactant-associated protein DRespiratory distress syndrome

Identifiers

PMID29246207
PMCPMC5731189
OpenAlexW2773666976

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.