Evidence map›Paper›PMID 39651662›Full record

ArticleJournal of global health2024

The health and economic burden of rare endocrine disease: Often ignored, always important.

Luna Liu, Yingzhou Shi, Yuchen Li, Wanhong Wu, Yang Tian, Xiude Fan, Chao Xu

Abstract read
In one paragraph

Article in Journal of global health, 2024. 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

7 authors.

Luna LiuDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Yingzhou ShiDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Yuchen LiDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Wanhong WuDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Yang TianDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Xiude FanDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Chao XuDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rare endocrine diseases (RED) often pose chronic and life-threatening challenges, yet their economic costs and societal impact remains have not been precisely quantified. Methods: We obtained patient data from the 2018 Nationwide Inpatient Sample (NIS) and the Nationwide Readmissions Database (NRD), identifying RED patients through International Classification of Diseases, 10th revision codes. The difference of economic burden between RED patients and the control group, including hospital length of stay, hospitalisation costs, and readmission rates, was assessed using chi-square tests. Results: We extracted 638 083 (2.98%) RED-related records from the NIS database. Compared to patients with common conditions, RED patients showed an exceedingly high burden of disease, including significantly extended hospital stays (P < 0.05), elevated total charges (P < 0.05), and heightened mortality rates (P < 0.05). They also had a substantially increased 30-day all-cause readmission rate based on the NRD database (P < 0.05). Although the different subgroups of RED patients had varying patterns of health care utilisation and economic burdens, they all surpassed those of patients with common conditions. Conclusions: There is a need for novel strategies aimed at mitigating the substantial RED-related burdens borne by individuals, families, and society in general, as well as funding for research and clinical trials.

Indexed as

Cost of IllnessEndocrine System DiseasesRare DiseasesAdolescentAdultAgedDatabases, FactualFemaleHealth Care CostsHospitalizationHumansLength of StayMaleMiddle AgedPatient ReadmissionUnited States

Identifiers

PMID39651662
PMCPMC11626685

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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.