Evidence map›Paper›PMID 35071554›Full record

ArticleWorld journal of clinical cases2021

Clustering cases of

Wei Zhao, Lei He, Xing-Zhi Xie, Xuan Liao, De-Jun Tong, Shang-Jie Wu, Jun Liu

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Clinical Characteristics of 40 Cases ofInfection and drug resistance · 2026
    Article
  2. Clinical characteristics ofFrontiers in medicine · 2025
    Article
  3. Coinfection ofFrontiers in cellular and infection microbiology · 2025
    Article
  4. Article
  5. Article
  6. Clinical and CT diagnosis of 50 cases ofQuantitative imaging in medicine and surgery · 2023
    Article
  7. Case Report: AFrontiers in public health · 2022
    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

7 authors at 2 institutions in 1 country.

Wei ZhaoDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Lei HeDepartment of Radiology, The First People's Hospital of Yueyang, Yueyang 410005, Hunan Province, China.
Xing-Zhi XieDepartment of Radiology, Hunan Chest Hospital, Changsha 410013, Hunan Province, China.
Xuan LiaoDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
De-Jun TongHospital Infection Control Center, The Second Xiangya Hospital, Changsha 410011, Hunan Province, China.
Shang-Jie WuPulmonary and Critical Care Medicine, The Second Xiangya Hospital, Changsha 410011, Hunan Province, China.
Jun LiuDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe onset symptoms of people infected by

aimTo better understand the two diseases and then make an early diagnosis and treatment.

methodsSix patients from two institutions confirmed as psittacosis by high-throughput genetic testing and 31 patients confirmed as COVID-19 were retrospectively included. The epidemiology, clinical characteristics, laboratory tests and computed tomography (CT) imaging features were collected and compared between the two groups. The follow-up CT imaging findings of patients with psittacosis were also investigated.

resultsThe white blood cell count (WBC), neutrophil count and calcium were more likely to be decreased in patients with COVID-19 but were increased in patients with psittacosis (all

conclusionPsittacosis has the potential for human-to-human transmission. Patients with psittacosis present increased WBC count and neutrophil count and have specific CT imaging findings, including unilateral distribution, less involvement of lung lobes and pleural effusions, which might help us to differentiate it from COVID-19.

Indexed as

Chlamydia psittaci pneumonniaClusterComputed tomographyCOVID-19Human-to-human transmission

Identifiers

PMID35071554
PMCPMC8717496
OpenAlexW4200480171

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.