Evidence map›Paper›PMID 33776734›Full record

ArticleCase reports in oncology

Usefulness of Quantitative Bone Single-Photon Emission Computed Tomography/Computed Tomography for Evaluating the Treatment Response of Bone Metastasis in a Lung Cancer Patient.

Kazuhiro Kitajima, Tatsuya Tsuchitani, Yoshiyuki Takahashi, Toshiyuki Minami, Takashi Yokoi, Akifumi Nakamura, Masaki Hashimoto, Kozo Kuribayashi, Takashi Kijima, Seiki Hasegawa and 1 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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, 2 citations in OpenAlex.

  1. Review
  2. 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 1 institution in 1 country.

Kazuhiro KitajimaDepartment of Radiology, Hyogo College of Medicine, Hyogo, Japan.
Tatsuya TsuchitaniDepartment of Radiological Technology, Hyogo College of Medicine College Hospital, Hyogo, Japan.
Yoshiyuki TakahashiDepartment of Radiological Technology, Hyogo College of Medicine College Hospital, Hyogo, Japan.
Toshiyuki MinamiDivision of Respiratory Medicine, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan.
Takashi YokoiDivision of Respiratory Medicine, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan.
Akifumi NakamuraDepartment of Thoracic Surgery, Hyogo College of Medicine, Hyogo, Japan.
Masaki HashimotoDepartment of Thoracic Surgery, Hyogo College of Medicine, Hyogo, Japan.
Kozo KuribayashiDivision of Respiratory Medicine, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan.
Takashi KijimaDivision of Respiratory Medicine, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan.
Seiki HasegawaDepartment of Thoracic Surgery, Hyogo College of Medicine, Hyogo, Japan.
Koichiro YamakadoDepartment of Radiology, Hyogo College of Medicine, Hyogo, Japan.
Hyogo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a case of bone metastasis arising from lung cancer, including quantitative values obtained with bone single-photon emission computed tomography/computed tomography (SPECT/CT), which were useful to evaluate the treatment response. The first bone SPECT/CT during pembrolizumab therapy for lung cancer recurrence showed intense

Indexed as

Bone metastasisBone scintigraphyQuantitative SPECT/CTStandardized uptake valueTreatment response

Identifiers

PMID33776734
PMCPMC7983545
OpenAlexW3136880410

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.