Evidence map›Paper›PMID 32860909›Full record

Trial reportBiology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation2020

Pre-Hematopoietic Stem Cell Transplantation Lung Computed Tomography as an Alternative to the Pulmonary Function Test during the COVID-19 Pandemic.

Masaharu Tamaki, Hideki Nakasone, Tadao Aikawa, Yuhei Nakamura, Masakatsu Kawamura, Shunto Kawamura, Junko Takeshita, Nozomu Yoshino, Yukiko Misaki, Kazuki Yoshimura and 9 more

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Guideline
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Masaharu TamakiDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Hideki NakasoneDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Tadao AikawaDepartment of Radiology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Yuhei NakamuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Masakatsu KawamuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Shunto KawamuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Junko TakeshitaDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Nozomu YoshinoDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Yukiko MisakiDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Kazuki YoshimuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Shinpei MatsumiDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Ayumi GomyoDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Aki TaniharaDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Machiko KusudaDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Yu AkahoshiDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Shun-Ichi KimuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Shinichi KakoDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Noriko Oyama-ManabeDepartment of Radiology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Yoshinobu KandaDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan. Electronic address: ycanda-tky@umin.ac.jp.
Jichi Medical University Saitama Medical Center · JPJichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pulmonary function test (PFT) is an important test for risk stratification before allogeneic transplantation (allo-HCT). However, it might be preferable to avoid PFT as much as possible in the recent era of coronavirus disease 2019 (COVID-19), because PFT requires forced expirations and might produce aerosols, increasing the risk of COVID-19 transmission. Therefore, we tried to predict normal PFT results before allo-HCT based on computed tomography (CT) findings. This study included 390 allo-HCT recipients at our center for whom lung CT images and PFT results before allo-HCT were available. Abnormal CT findings were less likely to be observed in the normal PFT group (47.0% versus 67.4%, P = .015), with a high negative predictive value of 92.9%. In a multivariate analysis, normal CT was significantly associated with normal PFT (odds ratio, 2.47; 95% confidence interval, 1.22 to 4.97; P = .012). A model for predicting normal PFT was constructed based on the results of a multivariate analysis, and the area under the curve of the receiver operating characteristic analysis was 0.656, which gave a sensitivity of 45.5% and a specificity of 86.0%. The relatively high specificity of the model suggested that PFT can be omitted in patients with normal CT findings before allo-HCT.

Indexed as

Hematopoietic Stem Cell TransplantationPandemicsSARS-CoV-2Tomography, X-Ray ComputedAdolescentAdultAgedCOVID-19FemaleHumansLungMaleMiddle AgedRespiratory Function TestsRetrospective StudiesComputed tomographyCOVID-19Pulmonary function test

Identifiers

PMID32860909
PMCPMC7449931
OpenAlexW3081471479

What OpenQuestion holds

Textmetadata
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.