Evidence map›Paper›PMID 35509408›Full record

ArticleHealth science reports2022

Surfactant protein D: A useful biomarker for distinguishing COVID-19 pneumonia from COVID-19 pneumonia-like diseases.

Yuki Togashi, Yuta Kono, Takashi Okuma, Nao Shioiri, Reimi Mizushima, Akane Tanaka, Mayuko Ishiwari, Kazutoshi Toriyama, Ryota Kikuchi, Hiroyuki Takoi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2022. 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
0.8field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Surfactant protein D (SP-D) as a biomarker of SARS-CoV-2 infection.Clinica chimica acta; international journal of clinical chemistry · 2022
    Article
  5. 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

11 authors at 2 institutions in 1 country.

Yuki TogashiDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Yuta KonoDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Takashi OkumaDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Nao ShioiriDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Reimi MizushimaDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Akane TanakaDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Mayuko IshiwariDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Kazutoshi ToriyamaDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Ryota KikuchiDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Hiroyuki TakoiDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Shinji AbeDepartment of Respiratory Medicine Tokyo Medical University Hospital Shinjuku-ku Tokyo Japan.
Tokyo Medical University · JPTokyo Medical University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Computed tomography is useful for the diagnosis of coronavirus disease (COVID-19) pneumonia. However, many types of interstitial lung diseases and even bacterial pneumonia can show abnormal chest shadows that are indistinguishable from those observed in COVID-19 pneumonia. Thus, it is necessary to identify useful biomarkers that can efficiently distinguish COVID-19 pneumonia from COVID-19 pneumonia-like diseases. Herein, we investigated the usefulness of serum Krebs von den Lungen 6 (KL-6) and surfactant protein D (SP-D) for identifying patients with COVID-19 pneumonia among patients with abnormal chest shadows consistent with COVID-19 pneumonia. Method: This was a retrospective cohort study of consecutive patients who underwent evaluation of serum KL-6 and SP-D at a single center from February 2019 to December 2020. A total of 54 patients with COVID-19 pneumonia and 65 patients with COVID-19 pneumonia-like diseases were enrolled in this study from the source population. Serum KL-6 and SP-D levels in both groups were analyzed. Result: The serum levels of KL-6 and SP-D in patients with COVID-19 pneumonia were significantly lower than those in patients with COVID-19 pneumonia-like disease (median [interquartile range]: 208.5 [157.5-368.5] U/ml vs. 430 [284.5-768.5] U/ml, Conclusion: Serum SP-D is a promising biomarker for distinguishing COVID-19 pneumonia from COVID-19 pneumonia-like diseases. Serum SP-D can be useful for the management of patients with abnormal chest shadow mimicking COVID-19 pneumonia.

Indexed as

COVID‐19diagnosisKL‐6SP‐D

Identifiers

PMID35509408
PMCPMC9059194
OpenAlexW4224434581

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.