Evidence map›Paper›PMID 34377254›Full record

ArticleAmerican journal of translational research2021

Autofluorescence bronchoscope diagnosis for lung nodules and masses.

Hongling Wang, Shuping Liu, Fenggang Li, Wei Gao, Nan Lv

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. 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
0.9field-weighted citation impact, top 25% 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, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
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

5 authors at 2 institutions in 1 country.

Hongling WangDepartment of Clinical Laboratory, Shandong Normal University Hospital Jinan 250014, Shandong Province, China.
Shuping LiuMedical Research & Laboratory Diagnostic Center, Affiliated Central Hospital of Shandong First Medical University Jinan 250013, Shandong Province, China.
Fenggang LiMedical Imaging Center, Affiliated Central Hospital of Shandong First Medical University Jinan 250013, Shandong Province, China.
Wei GaoDepartment of Pathology, Affiliated Central Hospital of Shandong First Medical University Jinan 250013, Shandong Province, China.
Nan LvMedical Research & Laboratory Diagnostic Center, Affiliated Central Hospital of Shandong First Medical University Jinan 250013, Shandong Province, China.
Jinan Central Hospital · CNShandong Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study set out to enhance the positive detection rate of lung tumors, diagnosis of nodular lesions and improve the accuracy of lung cancer classification by evaluating the clinical value of autofluorescence bronchoscopy (AFB).

methodsForceps biopsy, brush biopsy, needle aspiration, and washing techniques were performed alone and in combination with AFB among 38 subjects who were analyzed cytologically and histologically.

resultsOur results showed that 33 out of 38 patients were diagnosed with lung cancer, with an overall positive diagnostic rate of 86.8% when the combined methods and AFB was performed; the positive diagnostic rates obtained by forceps, needle aspiration, brush biopsy and washing methods were 68.4%, 84.2%, 55.3% and 36.8%, respectively. Compared to the overall positive rate, the positive diagnostic rates detected by forceps and needle aspiration were not statistically significant (P>0.05). However, the positive rates gained by the brush biopsy and washing method were statistically significant (P<0.01). In addition, we compared the 38 cases evaluated with AFB and 43 cases evaluated with "traditional" white light bronchoscopy (WLB), using the same methods.

conclusionsAFB and WLB markedly improved the positive diagnosis rate when combined with forceps and needle aspiration. The overall positive diagnostic rate of lung cancer scanned by WLB was increased from 60.5% to 86.8% (P<0.01) by using the combined methods of forceps, brush biopsy, needle aspiration and washing. Moreover, the accuracy of lung cancer classification combined with cytology and cell immunohistochemistry was improved. These results showed that a variety of inspection techniques and diagnostic technologies effectively play a complementary role in the diagnosis and classification of lung cancer.

Indexed as

AFBAutofluorescence bronchoscopyimmunocytochemistrylung cancerWLB

Identifiers

PMID34377254
PMCPMC8340158
OpenAlexW3188661587

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.