Evidence map›Paper›PMID 37250537›Full record

ArticlePakistan journal of medical sciences

Clinical application of ultrasound-guided Core Needle Biopsy Histology and Fine Needle Aspiration Cytology in Cervical Lymph Nodes.

Wei-Na Mu, Jian-Heng Li, Ying Liu, Ying Wen, Xin Liu

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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 4 institutions in 2 countries.

Wei-Na MuWei-na Mu, Department of Ultrasound, Baoding No.1 Central Hospital, Baoding 071000, Hebei, China.
Jian-Heng LiJian-heng Li, Hebei University, Baoding 071000, Hebei, China.
Ying LiuYing Liu Department of Ultrasound, Baoding Baoshihua Oriental Hospital, Baoding 071051, Hebei, China.
Ying WenYing Wen Department of Ultrasound, The 82 Group Army Hospital of the People's Liberation Army of China, Baoding 071000, Hebei, China.
Xin LiuXin Liu, Department of Ultrasound, Baoding No.1 Central Hospital, Baoding 071000, Hebei, China.
Baoding People's Hospital · CNHebei University · CNPeople's Liberation Army No. 150 Hospital · CNQT Ultrasound (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the difference of application of core needle biopsy histology and fine needle aspiration cytology in cervical lymphadenopathy. Methods: A retrospective analysis was made on 80 patients with cervical lymphadenopathy admitted to Baoding No.1 Central Hospital from to October 2018 to February 2020, and they were randomly divided into two groups: core needle group and fine needle group. Patients in the core needle group were given core needle biopsy histology, while those in the fine needle group were given fine needle aspiration cytology, and the puncture results and surgical complications were compared between the two groups. Results: The accuracy rates of the core needle group and the fine needle group in the diagnosis of malignant cervical lymph nodes were 95.83% and 72.22% respectively, with a statistically significant difference ( Conclusions: No significant difference was observed between core needle biopsy histology and fine needle aspiration cytology in diagnosing cervical lymphadenopathy, but the former has a high complication rate.

Indexed as

Cervical lymph nodesComplicationCore needle biopsy histologyFine needle aspiration cytologyUltrasound guidance

Identifiers

PMID37250537
PMCPMC10214824
OpenAlexW4361003937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.