Evidence map›Paper›PMID 42633259›Full record

ArticleSurgery open science2026

Factors influencing identification accuracy rate of parathyroid glands using near-infrared autofluorescence during endoscopic thyroidectomy.

Lihua Ao, Yilin Li, Jiaqi Cen, Huiyuan Tang, Wanyu Sun, Zifeng Luo, Chang Cai, Song Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Surgery open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Lihua AoNanshan School, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yilin LiNanshan School, Guangzhou Medical University, Guangzhou, Guangdong, China.
Jiaqi CenNanshan School, Guangzhou Medical University, Guangzhou, Guangdong, China.
Huiyuan TangNanshan School, Guangzhou Medical University, Guangzhou, Guangdong, China.
Wanyu SunNanshan School, Guangzhou Medical University, Guangzhou, Guangdong, China.
Zifeng LuoSchool of Languages and Cultures, Hunan Institute of Technology, Hengyang, Hunan, China.
Chang CaiDepartment of Surgery Teaching and Research, the Fifth Clinical College, Guangzhou Medical University, Guangzhou, China.
Song WangDepartment of Surgery Teaching and Research, the Fifth Clinical College, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Near-infrared autofluorescence (NIRAF) enhances parathyroid gland (PG) identification during thyroidectomy. However, its identification rate is frequently affected by false-positive and false-negative results. Methods: This prospective cohort study enrolled 50 patients scheduled for endoscopic thyroidectomy, employing a 1:1 case-matched design. The patients were assigned to an experimental group (NIRAF group; Results: In the NIRAF group, levels of parathyroid hormone (PTH) on the first postoperative day ( Conclusion: NIRAF is a highly sensitive navigation tool that effectively improves PG preservation and postoperative outcomes. Nevertheless, its diagnostic accuracy is challenged by false positives from heterogeneous tissues and false negatives driven by anatomical barriers like excessive fat.

Indexed as

False negativeFalse positiveNear-infrared autofluorescenceParathyroid glandsThyroidectomy

Identifiers

PMID42633259
PMCPMC13499384

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.