Blog 4: How does scientific research on ME/CFS work?

When people with ME/CFS look for information about their condition, they often come across references to scientific research. But how does scientific research actually work?
In this blog, we explain step by step how researchers carry out scientific studies and why this process is so important. We build on the previous blog in this series, in which we described how scientific research helps generate reliable knowledge and provides evidence for potential treatments.

A Research Question or Hypothesis

Every scientific study begins with a central question—something researchers want to understand or investigate.
For example: “Is there an association between specific proteins found in stool samples and the severity of symptoms in people with ME/CFS?” Sometimes research begins with a hypothesis: an expectation that researchers test scientifically. For example:- “People with severe ME/CFS are able to sustain physical activity for a shorter period than people with milder symptoms.”

To answer a research question or test a hypothesis, researchers first develop a detailed study protocol.
When research involves human participants, this protocol often has to be reviewed by a Medical Research Ethics Committee (MREC) before the study can begin. This independent committee evaluates whether the study complies with legal and ethical requirements and whether the rights, safety, and well-being of participants are adequately protected. Only after approval has been granted may the research start.

The study protocol describes exactly who will participate, which measurements will be performed, and how the data will be collected and analysed. It also explains how researchers aim to minimise bias and prevent factors that could unintentionally influence the results. This overall approach is known as the research methodology. Careful documentation of the methodology is essential because it enables other researchers to review, verify, and repeat the study. Reproducibility increases confidence in scientific findings and makes it possible to compare results across different studies.

Collecting data

Once the methodology has been established, researchers begin collecting data.
The type of data collected depends on the research question. Researchers may use medical information from participants’ health records—limited to what is necessary for the study—as well as results from physical examinations, laboratory tests, imaging techniques, or other clinical measurements.
Researchers may also analyse biological samples such as blood, urine, or stool.
Together, these different sources of information help researchers better understand how a disease develops, identify characteristics of patients, and explore differences between patient groups.

Additional Questionnaires
Researchers sometimes ask participants to complete questionnaires about their physical and mental health and about the impact of their symptoms on daily life.
For example:
– Can someone still care for themselves?
– Are they able to work or study?
– Can they do everyday activities such as grocery shopping?
– Do they experience pain, fever, or shortness of breath?
– Do they feel depressed?
– Are they able to concentrate?
– How severe is their fatigue?
The advantage of questionnaires is that every participant answers the same questions in the same way. This allows researchers to compare symptom patterns and the impact of illness across different diseases or between people at different stages of the same disease. When participants are followed over a longer period or begin a new treatment, researchers can also examine how symptoms and daily functioning change over time.
Similar questionnaires are widely used in research on other chronic and disabling conditions, including Parkinson’s disease, multiple sclerosis (MS), and rheumatic diseases. They help researchers build a more complete picture of how a disease affects people’s lives.

Researchers also recognise that physical symptoms and emotional well-being influence one another. Living with a chronic illness may lead to stress, anxiety, or depression, which can in turn affect how severely symptoms are experienced.Understanding these relationships helps researchers interpret their findings more accurately and distinguish between different factors that may influence study outcomes.
In addition, questionnaires are sometimes used to determine whether a participant’s symptoms may be better explained by another medical condition. This helps researchers reduce diagnostic uncertainty and contributes to making the most accurate diagnosis possible.

From Data to Knowledge

All the information collected by researchers is referred to as data. On its own, however, data has little meaning. Before it can answer a research question, it must first be processed, organised, and analysed using the methods defined in the study protocol. Only then can researchers determine what the data actually show and how reliable the findings are. The aim of scientific research is to turn raw data—such as questionnaire responses, laboratory results, and other measurements—into reliable knowledge. To achieve this, researchers carefully organise, analyse, and validate the data they have collected. Whenever possible, they compare their findings with the results of previous studies. This helps them determine whether their results confirm existing evidence, provide new insights, or suggest a different interpretation. It also allows researchers to evaluate whether their original hypothesis was supported and whether they have answered their research question. By comparing new findings with existing scientific theories, researchers can also identify whether those theories should be refined or expanded. In some cases, new evidence may even challenge earlier assumptions.

ISometimes a study produces results that differ from previous research. This does not necessarily mean that either study is incorrect. For example, earlier studies may have included a different group of participants or used different laboratory techniques or analytical methods.
For this reason, researchers critically evaluate not only their own work but also previous studies. By continually comparing new findings with existing evidence, they gradually build a clearer understanding of what is and is not supported by scientific evidence. In this way, scientific knowledge continues to evolve and improve.

Writing a Scientific Paper

Once the data have been analysed, researchers describe their findings in a scientific paper.
Scientific papers follow a standard structure. They begin with an introduction, explaining what is already known about the topic and outlining the research question the study aims to answer.
This is followed by the methods section, which describes how the study was conducted. Next comes the results section, where the findings are presented.
The discussion follows, in which researchers interpret their findings, compare them with previous studies, consider possible explanations, discuss the strengths and limitations of the study, and suggest directions for future research.
Finally, the paper concludes with a conclusion, summarising the main findings, answering the central research question, and indicating whether the original hypothesis was supported.

Writing a scientific paper is rarely the work of a single researcher. Most studies are carried out by teams of scientists who critically review each other’s work throughout the writing process. This collaborative approach helps identify errors, improves the quality of the research, and benefits from the expertise of researchers with different scientific backgrounds. In a later blog in this series, we will take a closer look at how this collaborative process works.

A scientific consortium

Increasingly, scientific research is carried out through larger collaborative partnerships known as consortia. A consortium brings together researchers from different universities, research institutes, hospitals, and, in some cases, patient organisations, enabling them to combine their expertise and resources.

For a complex multisystem disease such as ME/CFS, this type of collaboration is particularly important. Many research questions are too broad for a single research group to answer on its own.
By working together, researchers can study larger groups of participants, perform a wider range of measurements, and share data and expertise. Different research groups often approach the same question from different scientific perspectives. This makes it possible to validate findings, compare results, and strengthen the evidence on which conclusions are based. Collaboration also requires clear agreements on study protocols, measurement methods, and data collection. Standardising these approaches makes it easier to compare results across studies and improves the reliability of the findings.

For people with ME/CFS, research consortia mean that studies can be better aligned and that knowledge can be shared more efficiently between research groups. This allows findings from different projects to complement one another and helps accelerate scientific progress. Many consortia also collaborate internationally or include researchers from several countries. By combining expertise, data, and experience across borders, researchers can gain a more comprehensive understanding of ME/CFS than would be possible through individual studies alone.

Scientific research therefore follows a series of carefully planned steps, from formulating a research question to interpreting the results. This structured approach transforms individual observations and measurements into reliable knowledge that other researchers can build upon.
Within the Dutch ZonMw ME/CFS Research Programme, two research consortia are currently working together. In a future blog, we will take a closer look at these consortia and their role in advancing ME/CFS research.