Evidence map›Paper›PMID 37996086›Full record

ArticleJournal of radiation research2024

A multivariable normal tissue complication probability model for predicting radiation-induced hypothyroidism in nasopharyngeal carcinoma patients in the modern radiotherapy era.

Siriporn Wongwattananard, Anussara Prayongrat, Natchalee Srimaneekarn, Anthony Hayter, Jiratchaya Sophonphan, Seksan Kiatsupaibul, Puvarith Veerabulyarith, Yothin Rakvongthai, Napat Ritlumlert, Sarin Kitpanit and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of radiation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

13 authors at 4 institutions in 2 countries.

Siriporn WongwattananardDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan District, Bangkok 10330, Thailand.
Anussara PrayongratDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan District, Bangkok 10330, Thailand.
Natchalee SrimaneekarnDepartment of Anatomy, Faculty of Dentistry, Mahidol University, No. 6, Yothi Road, Ratchathewi District, Bangkok 10400, Thailand.
Anthony HayterDepartment of Business Information and Analytics, University of Denver, 2101 S. University Blvd., Denver, CO 80208-8921, USA.
Jiratchaya SophonphanHIV-NAT, Thai Red Cross AIDS Research Centre, 104, Ratchadamri Road, Pathumwan District, Bangkok 10330, Thailand.
Seksan KiatsupaibulDepartment of Statistics and Social Innovation Research Unit, Faculty of Commerce and Accountancy, Chulalongkorn University, 254, Phayathai Road, Pathumwan District, Bangkok 10330, Thailand.
Puvarith VeerabulyarithDepartment of Statistics and Social Innovation Research Unit, Faculty of Commerce and Accountancy, Chulalongkorn University, 254, Phayathai Road, Pathumwan District, Bangkok 10330, Thailand.
Yothin RakvongthaiDivision of Nuclear Medicine, Department of Radiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan District, Bangkok 10330, Thailand.
Napat RitlumlertDepartment of Radiology, Faculty of Medicine, Chulalongkorn University Biomedical Imaging Group, Chulalongkorn University, 1873 Rama IV Road, Pathumwan District, Bangkok 10330, Thailand.
Sarin KitpanitDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan District, Bangkok 10330, Thailand.
Danita KannarunimitDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan District, Bangkok 10330, Thailand.
Chawalit LertbutsayanukulDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan District, Bangkok 10330, Thailand.
Chakkapong ChakkabatDivision of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan District, Bangkok 10330, Thailand.
Chulalongkorn University · THHIV Netherlands Australia Thailand Research Collaboration · THMahidol University · THUniversity of Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation-induced hypothyroidism (RHT) is a common long-term complication for nasopharyngeal carcinoma (NPC) survivors. A model using clinical and dosimetric factors for predicting risk of RHT could suggest a proper dose-volume parameters for the treatment planning in an individual level. We aim to develop a multivariable normal tissue complication probability (NTCP) model for RHT in NPC patients after intensity-modulated radiotherapy or volumetric modulated arc therapy. The model was developed using retrospective clinical data and dose-volume data of the thyroid and pituitary gland based on a standard backward stepwise multivariable logistic regression analysis and was then internally validated using 10-fold cross-validation. The final NTCP model consisted of age, pretreatment thyroid-stimulating hormone and mean thyroid dose. The model performance was good with an area under the receiver operating characteristic curve of 0.749 on an internal (200 patients) and 0.812 on an external (25 patients) validation. The mean thyroid dose at ≤45 Gy was suggested for treatment plan, owing to an RHT incidence of 2% versus 61% in the >45 Gy group.

Indexed as

HypothyroidismNasopharyngeal NeoplasmsRadiotherapy, Intensity-ModulatedHumansNasopharyngeal CarcinomaProbabilityRadiotherapy DosageRetrospective Studiesnasopharyngeal carcinomanormal tissue complication probabilitypredictive modelradiation-induced hypothyroidismradiotherapy

Identifiers

PMID37996086
PMCPMC10803165
OpenAlexW4388961703

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.