Evidence map›Paper›PMID 32321513›Full record

Trial reportRespiratory research2020

Validation of age, PaO

Hyeontaek Hwang, Sun Mi Choi, Jinwoo Lee, Young Sik Park, Chang-Hoon Lee, Chul-Gyu Yoo, Young Whan Kim, Sung Koo Han, Sang-Min Lee

Abstract readClinical Trial
In one paragraph

Trial report in Respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Prognostic performance of the Age, PaOTherapeutic advances in infectious disease
    Article
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

9 authors.

Hyeontaek HwangDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea.
Sun Mi ChoiDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea.
Jinwoo LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea.
Young Sik ParkDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea.
Chang-Hoon LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea.
Chul-Gyu YooDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea.
Young Whan KimDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea.
Sung Koo HanDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea.
Sang-Min LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea. sangmin2@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA predictive scoring system for acute respiratory distress syndrome (ARDS) patients, which incorporates age, PaO

methodsWe retrospectively reviewed the medical records of patients who were diagnosed with ARDS using the Berlin criteria and admitted to the medical ICU at Seoul National University Hospital from January 2015 to December 2016. The validation of the APPS was performed by evaluating its calibration and predictive accuracy. Its calibration was plotted and quantified using the Hosmer-Lemeshow test. Its predictive accuracy was assessed by calculating the area under the receiver operating characteristics (AUC-ROC) curve.

resultsA total of 116 patients were analyzed, 32 of whom survived. Of the 116 patients, 11 (9.5%) were classified as APPS grade 1 (score 3-4), 88 (75.9%) as grade 2 (score 5-7) and 17 (14.6%) as grade 3 (score 8-9). In-hospital mortality was 27.3% for grade 1, 73.9% for grade 2 and 94.1% for grade 3 (P for trend < 0.001). The APPS was well calibrated (Hosmer-Lemeshow test, P = 0.578) and its predictive accuracy was acceptable (AUC-ROC 0.704, 95% confidence interval 0.599-0.809).

conclusionsThe APPS predicted in-hospital mortality in Korean patients with ARDS with similar power to its application in a Western population and with acceptable predictive accuracy.

trial registrationRetrospectively registered.

Indexed as

AgedAged, 80 and overAge FactorsAPACHEFemaleFollow-Up StudiesHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedReproducibility of ResultsRepublic of KoreaRespiratory Distress SyndromeRespiratory Function TestsRetrospective StudiesAdultCalibrationHospital mortalityPrognosisRespiratory distress syndromeROC curve

Identifiers

PMID32321513
PMCPMC7178575

What OpenQuestion holds

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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.