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WikiProject report

Time for a health check: the Vital Signs 2026 campaign

It's time for a health check. And no, I don't mean the health check your healthcare professional might usually offer to you. Let's rather check our most important health articles and ensure they are fit for purpose in 2026.

This is exactly the main goal of the Vital Signs 2026 campaign. Within the WikiProject Medicine, we've identified our 101 most important articles: the campaign is trying to make sure that all of these meet the B-class criteria by the end of the year. At the moment, there are "only" 15 C-class articles in this list. But medical content often tends to get out of date quickly as science progresses, so it's likely that most articles need at least a bit of TLC, including those listed as good articles (27%) and featured articles (10%).

How to help, and why you don't need to be an expert

Editing medical content is not as difficult as you'd think. Biomedical content has its own sourcing guidelines. In a nutshell, most sources need to be secondary sources published in the last five years. This can be (international) clinical guidelines, review papers, WHO reports, book chapters, or information pages from trusted organisations such as the NHS. On the talk page of each medical article, there is a link to PubMed to find review papers that meet these requirements. Because the source requirements are stricter, there are usually fewer sources to read before you can jump in.

Most of these sources are written in plain(-ish) English, so you do not need a medical degree to understand them. A subset of review papers is written in highly technical language, but you can set these sources aside at first. When you edit medical articles, you initially may want to skip the causes and mechanism (pathophysiology) section of articles, as they are more difficult to grasp, especially for beginners. On the other hand, the epidemiology section can be a good one to start with. Diagnosis and treatment are usually covered well in clinical guidelines, so they provide another good place to start editing medical content.

In terms of campaign tasks, there are big ones and small ones. A few to get started:

  1. Help assess articles for the campaign's Progress table
  2. Update how many people have a condition and related mortality by using the latest Global Burden of Disease study.
  3. Check Commons for better images in text-heavy articles
  4. Add alternative descriptions to images for WP:ACCESSIBILITY
  5. Check the lead for understandability, and leave a talk page message if you cannot resolve it yourself

If you have more time, why not adopt one of the articles? Read it top-to-bottom, update key facts and statistics and remove the overly technical details not relevant to our likely readers.

The importance of editing important articles

In the age of AI, Wikipedia is losing pageviews, partially because Google is pushing its inaccurate AI into search. And maybe that's not (entirely) a bad thing, given the state of some of our medical articles at the moment. Before this campaign started, we scared readers by providing them with cancer survival data more than ten years out of date, and the management section in asthma was even more dated. Google rightly punishes websites for being out of date, but these big articles are the ones that are most likely to attract readers in high numbers: therefore, only if we have more readers, we can also have more folks falling into our "rabbit hole" and joining the community. We can make a virtuous cycle out of a vicious one.

Pageviews on (top-importance) medical articles are declining. This is partially due to datedness, but also due to a 2018–2020 change in how Google ranks medical sites for authority (Google seems to downrank Wikipedia's medical content more [1][2]), and recently, as we compete against AIs.

And there's more to do. We have articles like Borderline personality disorder, where AI misuse is suspected and requires cleaning; Breast cancer, which is using 2013 sourcing to question the usefulness of screening campaigns for the disease; our article on obesity does not even mention GLP-1 agonists – like Ozempic – in the lead yet, and has a statistics section (in addition to a more standard epidemiology section) dedicated only to the US.

The criteria for an article being B-class are:

B
  1. The article is suitably referenced, with inline citations. It has reliable sources, and any important or controversial material which is likely to be challenged is cited. Any format of inline citation is acceptable: the use of <ref> tags and citation templates such as {{cite web}} is optional.
  2. The article reasonably covers the topic, and does not contain obvious omissions or inaccuracies. It contains a large proportion of the material necessary for an A-Class article, although some sections may need expansion, and some less important topics may be missing.
  3. The article has a defined structure. Content should be organized into groups of related material, including a lead section and all the sections that can reasonably be included in an article of its kind.
  4. The article is reasonably well-written. The prose contains no major grammatical errors and flows sensibly, but does not need to be of the standard of featured articles. The Manual of Style does not need to be followed rigorously.
  5. The article contains supporting materials where appropriate. Illustrations are encouraged, though not required. Diagrams, an infobox etc. should be included where they are relevant and useful to the content.
  6. The article presents its content in an appropriately understandable way. It is written with as broad an audience in mind as possible. The article should not assume unnecessary technical background and technical terms should be explained or avoided where possible.

Editing medical content is impactful. Despite the post-pandemic drop in pageviews, our top-importance medical articles were read by 164,000 people every day last year, amounting to 60 million views in total. And most importantly, people often read these articles when they are going through illness themselves, or when their loved ones are. After every medical GA or FA I’ve written, people have written to tell me how the updated content helped them, something you don't get in many other areas of Wikipedia. Will you join us checking Vital Signs?


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  • Re Google AI, The Guardian recently published an investigation showing the risk of harm from their "false and misleading" health summaries. Google did remove some of the misinformation after that report. Regardless, I never even look at Google's AI overviews. I normally prefer DuckDuckGo anyway (and avoid its AI "features"). Funcrunch (talk) 03:39, 16 January 2026 (UTC)[reply]
  • Years of publication of the scientific articles referenced in Wikipedia
    Really important topic. People would be surprised just how few contributors seem to work on what's described here. Apparently, editors care a lot more about pokemon, manga, celebrities, TV series, etc etc than things of critical importance relating to real-world needs of many thousands of people. The outdatedness issue described here is not limited to articles about medical subjects, it's also often the case in many other science-related articles. For a while I did the reverse approach of checking many of the most impactful studies of the month and then checked whether the info was missing in the Wikipedia article about the subject – it nearly always was and there is nearly nobody else regularly or often updating articles using newer scientific findings (in the case of medical subjects, medical reviews). I aggregated some media about this topic at c:Category:Wikimedia updating and hope that awareness about this will increase and more editors start working more often on articles that are really important and checking whether they are up-to-date.
    Note that issue is orders of magnitudes smaller on English Wikipedia compared to other Wikipedias, including bigger ones like German Wikipedia. This is one of the many reasons why I think implementing correctable Machine Translation as proposed here could have a big impact and is needed – e.g. many languages don't have any article whatsoever on some important diseases and medicines such as the WHO's essential medicines, let alone less common diseases etc.
    Moreover, data graphics relating to medical subjects are also often outdated and I'm working a bit on updating them where it would be great if more users could join the effort; see Wikipedia:WikiProject Data Visualization. --Prototyperspective (talk) 00:07, 20 January 2026 (UTC)[reply]
    That's really interesting. I had expected the peak of citations to be around 2007-2010, but this seems to have an even older peak. One my radical ideas, that so far has not seen much support, is for us to cut highly outdated articles down to a lead, and investigate quality in 10 years. Will the articles be edited more? And regain the function of having an up-to-date reference work? A less radical solution is to re-evaluate long-term protections, and ensure more of Wikipedia is editable by new users. New users rarely remove old mess, and mostly add new content however. —Femke 🐦 (talk) 08:45, 20 January 2026 (UTC)[reply]
    An issue with that idea is that usually (not saying always), the old info is largely fine as e.g. describing the historical development or things accurately but without the level of precision that newer sources would bring with just a few paragraphs or parts that need to be removed. Basically, a rough estimation of updating a severely outdated science-related article is that 70% stays the same, 10% is removed, 20% is changed, and an extra 20% gets added. Additionally, one can add the hatnote Template:Update. One idea is to use novel tools to identify more sections and articles that are likely outdated, e.g. using the publication dates of the used refs (note that not all sections with old refs are outdated so this isn't nearly as simple as it may sound). I don't think long-term protections would have a substantial impact here or are a larger bottleneck to this getting fixed. Instead, forwarding articles and sections with the Template:Update to users knowledgable/interested in the topic (here especially academics) would probably be much more impactful and that's one of the use-cases for what's proposed at Suggested tasks based on contributions history (user interests) also for experienced editors. There's many registered editors who don't know what they could or who even are looking for things to do while there's lots of tasks like the ones described here that are not found by the relevant people that could solve them. There's many further things that could be done, such as e.g. a Wikipedia campaign for updating such outdated articles. Btw, maybe I'll create a chart of the number of pages in Category:Wikipedia articles in need of updating over time. Prototyperspective (talk) 15:11, 20 January 2026 (UTC)[reply]
    The reason I brought up protection was that I recently discovered that 1/3 of Wikipedia's top-importance articles were semi-protected for vandalism. Medical articles get out of date fast, so that new editors often do have something to bring to the table. I wonder if there is a similar issue with other highly-read articles that make people believe Wikipedia in general is not open to editors. I've since unprotected/requested unprotection for a bunch. See Wikipedia:Village_pump_(idea_lab)#Re-evaluate_long-duration_protections for more of my thinking.
    One of the main ways Wikipedia is used is for finding references. When we update an article and 70% stays the same, depending on the field, we may not be pointing readers to the right references. The claim they are cited for might still be true, but there will be plenty of dated statements in the source. A fresh start prevents that. Articles are often wrong in subtle ways too. I've recently updated urinary tract infection, with numbers similar to your suggested percentages. Not a medical doctor, so I'm sure there's more mistakes and dated information there I would have found if I'd done a full rewrite.
    I like your wish to keep experienced users more engaged. To me, getting more people in feels so essential, to ensure there are plenty of viewpoints represented in articles. New editors are often quite good at shaking things up (assuming they're not automatically chased away by biting elderlings). —Femke 🐦 (talk) 20:09, 21 January 2026 (UTC)[reply]
    Good points – I guess while the edits requirements are low and don't seem like much of a barrier, the likelihood that potential new users find the first thing/place they'd like to edit at a protected article is not that low despite that these are quite rare as these are the highly-popular articles. Left a comment in the thread. Briefly, one alternative/complementary idea is to forward these users to creating a new talk page post.
    As much as I'd like it to be different One of the main ways Wikipedia is used is for finding references seems rather false – statistics have shown that just very rarely do people click external links like the refs (eg see this and the page it's on and the external links commons category). One thing I was thinking about is that it would be great if some old refs would be swapped out for newer higher-quality reviews (including in non-medical articles where e.g. the citation may be some normal paper instead of some review). But that's more like perfectionism and maybe will be more relevant once there's better tools for spotting old refs with potential newer better ref available (see here for a paper/R&D in this field). For example, as part of the aforementioned reverse approach of going through the month's (or several months') most impactful papers, I added the 2021 ESC Guidelines to the external links of cardiovascular disease. There's more articles where external review studies, overviews & guidelines would be due but it's not so important because barely anybody clicks these. I wished more people would do this reverse approach because I think it's easier to find articles missing info than the other way around even when that other way can be more focused and field/topic-specific.
    Furthermore, sometimes it's quite debatable where there is value in having a newer source vs the source which eg first established what's in the statement, e.g. the first review that concluded it vs just a random newer review that also mentions this as an earlier-established conclusion so this also needs to be considered and e.g. the old ref only be amended. Additionally, facilitating whole rewrites wastes/duplicates volunteer time and can introduce more issues than editing a long-scrutinized&crowdreviewed article. It also makes it easier for article watchers to review/check the newly added/changed info than a full rewrite. Moreover, people seem to dislike large edits where a large edit of mine updated, extending, and improving lots of things in the climate change mitigation article got reverted for being too large so I doubt it would be different for a full-rewrite. Another Signpost article demonstrated the use of AI to identify outdated or false info so maybe this approach could be improved and adapted to this task as well (it found errors in 90% of 31 recent English Wikipedia 'Today's featured articles').
    Agree, it's essential and just as much is retaining editors and getting some tasks off the shoulders of overburdened active editors and onto those users looking for tasks. Thanks for the interesting discussion; posted this TSP piece on /r/wikipedia by the way – hopefully interest in this and related or similar subjects will increase and maybe also eventually get some news coverage. Prototyperspective (talk) 16:58, 23 January 2026 (UTC)[reply]

    Instead, forwarding articles and sections with the Template:Update to users knowledgable/interested in the topic (here especially academics) would probably be much more impactful and that's one of the use-cases for what's proposed at Suggested tasks based on contributions history (user interests) also for experienced editors.

    Prototyperspective There's already something like this in the form of the cleanup listings created by Bamyers99's bot.[3] Using virus articles as an example,[4] you can see there are a few categories related to datedness: "Obsolete information", "Potentially dated statements", and "Update needed". I don't know if many people use these cleanup listings but I find them very useful and have used the one for the Virus WikiProject to significantly reduce the number of cleanup issues on virus articles, which you can see on this graph.[5] Maybe encouraging more editors to make use of the cleanup listings would help. Velayinosu (talk) 23:53, 24 January 2026 (UTC)[reply]
    Interesting, thanks. I'll add it as an example to point 6 here and/or the section there about "Current approaches". I don't think many use these. The chart is nice – it could be used as part of campaigns for topics to improve articles with issues and maybe there could e.g. be some cross-WikiProjects campaign where the statistic could show the impact, motivate and be used to raise awareness about the need for more active editors & editing in this topic-area. Prototyperspective (talk) 20:26, 25 January 2026 (UTC)[reply]
    I totally agree. These kinds of articles are really important to keep updated; even though Wikipedia is not supposed to be a reliable medical source (see WP:MEDICAL), it's often some people's best/only option when they do not have access to a qualified doctor or want a quick answer without needing to schedule an appointment, and in the United States, pay a large fee. After reading this I'll start to work on a lot of Wikipedian medical articles now. However, I would like it to be more clear-cut in the Signpost article how to help and maybe provide a link to the content assessment scale to understand how to make it B or Good class. VidanaliK (talk to me) 23:15, 25 January 2026 (UTC)[reply]
    And like Stephanie Parker at Marie Curie said (from the Guardian article), "People turn to the internet in moments of worry and crisis. If the information they receive is inaccurate or out of context, it can seriously harm their health." VidanaliK (talk to me) 23:17, 25 January 2026 (UTC)[reply]

















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