Evidence map›Paper›PMID 29445919›Full record

ReviewEndocrine2018

Appraisal of clinical practice guidelines on the management of hypothyroidism in pregnancy using the Appraisal of Guidelines for Research and Evaluation II instrument.

Yuan Fang, Liang Yao, Jing Sun, Jian Zhang, Yanxia Li, Ruifei Yang, Kehu Yang, Limin Tian

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
–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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Medication Use among Pregnant Women from the 2015 Pelotas (Brazil) Birth Cohort Study.International journal of environmental research and public health · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

Yuan FangDepartment of Endocrinology, Gansu Provincial Hospital, Dong gang West Road, Lanzhou, 730000, Gansu, People's Republic of China.
Liang YaoClinical Evidence based medicine center, Gansu Provincial Hospital, Dong gang West Road, Lanzhou, 730000, Gansu, People's Republic of China.
Jing SunDepartment of Clinical Medicine, Ningxia Medical University, Yinchuan, 750004, Ningxia, People's Republic of China.
Jian ZhangDepartment of Clinical Medicine, Ningxia Medical University, Yinchuan, 750004, Ningxia, People's Republic of China.
Yanxia LiDepartment of Ultrasonography, Hebei Province Veterans Hospital, Lianchi South Street, Baoding, 071000, Hebei, People's Republic of China.
Ruifei YangDepartment of Endocrinology, Gansu Provincial Hospital, Dong gang West Road, Lanzhou, 730000, Gansu, People's Republic of China.
Kehu YangEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, People's Republic of China. kehuyangebm2006@126.com.
Limin TianDepartment of Endocrinology, Gansu Provincial Hospital, Dong gang West Road, Lanzhou, 730000, Gansu, People's Republic of China. tlm6666@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to systematically evaluate the quality of guidelines for the management of hypothyroidism in pregnancy.

methodSystematic searches were conducted to identify hypothyroidism in pregnancy guidelines published in electronic databases and developers' websites. Four reviewers independently evaluated eligible guidelines using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) instrument. Agreement among reviewers was measured using the intraclass correlation coefficient (ICC). The number of recommendations, strength of recommendations, and levels of evidence were determined. The software used for analysis was SPSS version 12.0.

resultsNine guidelines met the inclusion criteria and were appraised. The scope and purpose (65%) and clarity of presentation (70%) domains achieved relatively high scores, whereas the stakeholder involvement (41%), rigor of development (33%), applicability (36%), and editorial independence (31%) domains yielded low scores. The American Thyroid Association (ATA) guideline ranked the highest, whereas the 2012 Chinese Society of Endocrinology (CSE) guideline ranked the lowest among all the guidelines. The British Thyroid Association (BTA) and ATA guidelines were strongly recommended as dependable and helpful references to aid clinical decisions for medical providers, whereas the CSE guideline was not recommended. Most recommendations of the guidelines were relatively consistent. However, the nine guidelines varied with respect to their recommendations on thyroid scanning, dose of levothyroxine (L-T4) treatment, and target thyroid-stimulating hormone(TSH) level of L-T4 therapy.

conclusionsThe quality of the guidelines on the management of hypothyroidism in pregnancy is highly variable. Additionally, these guidelines need significant improvement, especially in the rigor of development and applicability domains. Some improvements should be made to promote the development and implementation of guidelines, for example, conducting a comprehensive search strategy to include more potential evidence and establishing a standard grading system to evaluate the quality of evidence.

Indexed as

Evidence-Based MedicinePractice Guidelines as TopicDisease ManagementFemaleHumansHypothyroidismPregnancyPregnancy ComplicationsThyroxineThyroxineAppraisal of Guidelines for Research and Evaluation instrumentClinical practice guidelinesHypothyroidism in pregnancyQuality assessment

Identifiers

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.