Evidence map›Paper›PMID 39939124›Full record

ArticleLupus science & medicine2025

Time trends of variability in disease activity in systemic lupus erythematosus.

Ning Li, Alberta Hoi, Shue-Fen Luo, Yeong-Jian Jan Wu, Worawit Louthrenoo, Vera Golder, Sargunan Sockalingam, Jiacai Cho, Aisha Lateef, Sean O'Neill and 29 more

Abstract read
In one paragraph

Article in Lupus science & medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

39 authors.

Ning LiMonash University, Melbourne, Victoria, Australia lisaningli@gmail.com.ORCID 0000-0001-8013-5041
Alberta HoiMonash University, Melbourne, Victoria, Australia.ORCID 0000-0002-9416-7383
Shue-Fen LuoChang Gung Memorial Hospital, Tao-Yuan, Taiwan.
Yeong-Jian Jan WuChang Gung Memorial Hospital, Tao-Yuan, Taiwan.
Worawit LouthrenooChiang Mai University, Chiang Mai, Thailand.
Vera GolderMonash University, Melbourne, Victoria, Australia.
Sargunan SockalingamUniversity of Malaya, Kuala Lumpur, Malaysia.
Jiacai ChoNational University Hospital, Singapore.ORCID 0000-0002-4477-3430
Aisha LateefWoodlands Health, Singapore.
Sean O'NeillThe University of Sydney, Sydney, New South Wales, Australia.
Chak Sing LauUniversity of Hong Kong Faculty of Medicine, Hong Kong.ORCID 0000-0001-6698-8355
Laniyati HamijoyoUniversity of Padjadjaran Faculty of Medicine, Bandung, Indonesia.ORCID 0000-0002-1310-674X
Mandana NikpourThe University of Sydney, Sydney, New South Wales, Australia.
Shereen OonThe University of Melbourne at St Vincent's Hospital, Fitzroy, Victoria, Australia.
Yanjie HaoThe University of Melbourne at St Vincent's Hospital, Fitzroy, Victoria, Australia.ORCID 0000-0001-8715-259X
Madelynn ChanTan Tock Seng Hospital, Singapore.
Zhanguo LiPeople's Hospital, Peking University Health Science Center, Beijing, China.
Sandra NavarraRheumatology, University of Santo Tomas, Manila, Philippines.ORCID 0000-0003-0094-8654
Leonid ZamoraUniversity of Santo Tomas, Manila, Philippines.
Yasuhiro KatsumataTokyo Women's Medical University, Shinjuku, Japan.ORCID 0000-0003-1654-0119
Masayoshi HarigaiTokyo Women's Medical University, Shinjuku, Japan.
Fiona GoldblattFlinders Medical Centre, Bedford Park, South Australia, Australia.
Sang-Cheol BaeHanyang University Hospital for Rheumatic Diseases, Seongdong-gu, Korea (the Republic of).ORCID 0000-0003-4658-1093
Zhuoli ZhangPeking University First Hospital, Beijing, China.ORCID 0000-0001-7219-9141
Tsutomu TakeuchiKeio University, Minato, Japan.
Jun KikuchiKeio University, Minato, Japan.ORCID 0000-0003-3231-8841
Kristine NgNorth Shore Hospital, Health New Zealand Waitemata, Auckland, New Zealand.
Nicola TugnetAuckland District Health Board, Auckland, New Zealand.
Yoshiya TanakaUniversity of Occupational and Environmental Health Japan, Kitakyushu, Japan.ORCID 0000-0002-0807-7139
Naoaki OhkuboUniversity of Occupational and Environmental Health Japan, Kitakyushu, Japan.
Yi-Hsing ChenTaichung Veterans General Hospital, Taichung, Taiwan.
B M D B BasnayakeTeaching Hospital Kandy, Kandy, Sri Lanka.
Annie LawSingapore General Hospital, Singapore.
Sunil KumarMiddlemore Hospital, Auckland, New Zealand.
Cherica TeeUniversity of the Philippines, Manila, Philippines.
Michael Lucas TeeUniversity of the Philippines, Manila, Philippines.
Jiyoon ChoiBristol Myers Squibb, New Brunswick, New Jersey, USA.
Rangi Kandane-RathnayakeMonash University, Melbourne, Victoria, Australia.ORCID 0000-0001-5397-1482
Eric MorandMonash University, Melbourne, Victoria, Australia.ORCID 0000-0002-9507-3338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDisease activity both between and within patients with SLE is highly variable, yet factors driving this variability remain unclear. This study aimed to identify predictors of variability in SLE disease activity over time.

methodsWe analysed data from 2930 patients with SLE across 13 countries, collected over 38 754 clinic visits between 2013 and 2020. Clinic visit records were converted to panel data with 1-year intervals. The time-adjusted mean disease activity, termed

resultsOverall, variability in SLE disease activity exhibited stabilisation over time. A significant inverse relationship emerged between a patient's disease activity in a given year and variability in disease activity in the subsequent year: a 1-point increase in person-mean disease activity was associated with a 0.27-point decrease (95% CI -0.29 to -0.26, p<0.001) in subsequent variability. Additionally, a 1-point increase in within-patient disease activity variability was associated with a 0.56-point decrease (95% CI -0.57 to -0.55, p<0.001) in the subsequent year. Furthermore, each 1-point increase in the annual average time-adjusted mean Physician Global Assessment was associated with a 0.08-point decrease (90% CI -0.13 to -0.03, p=0.002) in disease activity variability for the following year. Prednisolone dose and the duration of activity in specific organ systems exhibited negative and positive associations, respectively, with disease activity variability in the subsequent year. Patients from less affluent countries displayed greater disease activity variability compared with those from wealthier nations.

conclusionDisease activity tends to be less variable among patients with higher or more variable disease activity in the previous year. Within-patient variability in disease activity has a stronger impact on subsequent fluctuations than differences between individual patients.

Indexed as

Lupus Erythematosus, SystemicAdultFemaleHumansMaleMiddle AgedSeverity of Illness IndexTime FactorsYoung AdultLupus Erythematosus, SystemicOutcome Assessment, Health CareSeverity of Illness Index

Identifiers

PMID39939124
PMCPMC11822427

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Registered trials

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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.